Method of and device for determining text content detection mode, equipment and storage medium

Abstract

The present application relates to a method and a device for determining a text content detection mode, a computer equipment and a storage medium. The method comprises: obtaining to-be- detected text content; determining a current detection object from the to-be-detected text content; performing feature processing on the to-be-detected text content, to obtain a collection of current location distance features corresponding to the to-be-detected text content; obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the to-be- detected text content. Employment of this method enables to reduce invalid detection of text content, to thereby enhance text content detection efficiency.

Description

METHOD OF AND DEVICE FOR DETERMINING TEXT CONTENT DETECTION MODE, EQUIPMENT AND STORAGE MEDIUM BACKGROUND OF THE INVENTION Technical Field

[0001] The present application relates to the field of computer technology, and more particularly to a method of and a device for determining a text content detection mode, a computer equipment and a storage medium. Description of Related Art

[0002] In the currently prevailing process of detecting text content, it is usual to detect one by one the characters in the text content to be detected and finally arrive at the detection result. However, when many repetitive characters are encountered in the text content, such a mode of detecting one character by one character requires a lot of time and engenders invalid detections of repeatedly occurring characters, thereby causing low text content detection efficiency. SUMMARY OF THE INVENTION |0003| In view of the above technical problems, there is an urgent need to provide a method of and a device for determining a text content detection mode, a computer equipment and a storage medium, in which, before the text content to be detected is actually detected, location distance features of the current detection object in the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, it is made possible to reduce invalid detection of text content, to thereby enhance text content detection efficiency.

[0004] There is provided a method of determining a text content detection mode, which method comprises: <semantics>⌈0005⌉<annotation encoding="application / x-tex">\lceil 0005 \rceil< / annotation>< / semantics> obtaining text content to be detected;

[0006] determining a current detection object from the text content to be detected; |0007| basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected;

[8000] obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and |0009| basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0010] In one of the embodiments, the step of basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected includes: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the text content to be detected according to a specified sequence, until current location distance features to which the various current detection objects correspond are obtained; and basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. |0011| In one of the embodiments, the step of basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content includes: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content.

[0012] In one of the embodiments, the step of basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected includes: determining the detection mode of the text content to be detected as detecting on a one-by-one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features.

[0013] In one of the embodiments, the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and character string to be detected.

[0014] In one of the embodiments, previous to the step of basing on the current detection object to perform feature processing on the candidate text content, the method further comprises: detecting whether there is a same detection object in the candidate text content as the current detection object; returning to the step of determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering the step of basing on the current detection object to perform feature processing on the candidate text content when there is the same detection object in the candidate text content as the current detection object. <semantics>⌈0015⌉<annotation encoding="application / x-tex">\lceil 0015 \rceil< / annotation>< / semantics> There is provided a device for determining a text content detection mode, which device comprises:

[0016] a text content obtaining module, for obtaining text content to be detected;

[0017] a detection object determining module, for determining a current detection object from the text content to be detected;

[0018] a text content processing module, for basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected;

[0019] a candidate text content processing module, for obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and

[0020] a detection mode determining module, for basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0021] There is provided a computer equipment that comprises a memory, a processor and a computer program stored on the memory and executable on the processor, and the following steps are realized when the processor executes the computer program: |0022| obtaining text content to be detected;

[0023] determining a current detection object from the text content to be detected;

[0024] basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected;

[0025] obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and

[0026] basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected. |0027| There is provided a computer-readable storage medium storing thereon a computer program, and the following steps are realized when the computer program is executed by a processor:

[0028] obtaining text content to be detected;

[0029] determining a current detection object from the text content to be detected;

[0030] basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected;

[0031] obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and

[0032] basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0033] In the aforementioned method of and device for determining a text content detection mode, computer equipment and storage medium, text content to be detected is obtained; a current detection object is determined from the text content to be detected; the current detection object is based on to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected; candidate text content is obtained, and the current detection object is based on to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and the collection of current location distance features and the collection of candidate location distance features are based on to determine a detection mode of the text content to be detected. Accordingly, before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection object of the text content to be detected and the candidate location distance features of the candidate text content can be based on to determine the corresponding detection mode of the text content to be detected, and hence to perform detection on the text content to be detected according to the detection mode, whereby it is made possible to reduce invalid detection of text content, to thereby enhance text content detection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Fig. 1 is a view illustrating the application environment of a method of determining a text content detection mode in an amendment;

[0035] Fig. 2 is a flowchart schematically illustrating a method of determining a text content detection mode in an amendment;

[0036] Fig. 3 is a flowchart schematically illustrating a step of obtaining a collection of current location distance features in an amendment;

[0037] Fig. 4 is a flowchart schematically illustrating a step of obtaining a collection of candidate location distance features in an amendment;

[0038] Fig. 5 is a flowchart schematically illustrating a step of determining a detection mode of text content to be detected in an amendment;

[0039] Fig. 6 is a flowchart schematically illustrating a feature processing step of candidate text content in an amendment;

[0040] Fig. 7 is a block diagram illustrating the structure of a device for determining text content detection mode in an embodiment;

[0041] Fig. 8 is a view illustrating the internal structure of a computer equipment in an embodiment; and

[0042] Fig. 9 is a view illustrating the internal structure of a computer equipment in an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0043] To make more lucid and clear the objectives, technical solutions and advantages of the present application, the present application is described in greater detail below with reference to the accompanying drawings and embodiments. As should be understood, the specific embodiments as described here are merely meant to explain the present application, rather than to restrict the present application.

[0044] The method of determining a text content detection mode provided by the present application is applicable to the application environment as shown in Fig. 1, in which terminal 102 communicates with server 104 through network. Terminal 102 can be, but is not limited to be, a personal computer, a notebook computer, a smart mobile phone, a laptop computer, or a portable wearable device, and server 104 can be embodied as an independent server or a server cluster consisting of a plurality of servers.

[0045] Specifically, terminal 102 obtains text content to be detected, and sends the text content to be detected to server 104; after receiving the text content to be detected, server 104 determines a current detection object from the text content to be detected, bases on the current detection object to perform feature processing on the text content to be detected to obtain a collection of current location distance features corresponding to the text content to be detected, obtains candidate text content and bases on the current detection object to perform feature processing on the candidate text content to obtain a collection of candidate location distance features corresponding to the candidate text content, and bases on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0046] In another embodiment, terminal 102 obtains text content to be detected, determines a current detection object from the text content to be detected, bases on the current detection object to perform feature processing on the text content to be detected to obtain a collection of current location distance features corresponding to the text content to be detected, obtains candidate text content and bases on the current detection object to perform feature processing on the candidate text content to obtain a collection of candidate location distance features corresponding to the candidate text content, and bases on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0047] In one embodiment, as shown in Fig. 2, there is provided a method of determining a text content detection mode, which method is explained with an example of its being applied to the terminal or server in Fig. 1, and which comprises the following steps.

[0048] Step 202 – obtaining text content to be detected.

[0049] The text content to be detected is text content that is currently being detected, the so- called text content is a sentence or a combination of sentences having complete and systematic meanings, and the text content can be a sentence, a paragraph, a chapter or a character string. The text content can be English text content, Chinese text content, a character string or a combination thereof. Specifically, obtainment of the text content can be done by crawling from the great quantity of webpages through the currently available crawling technology, or according to business requirements, product requirements or other application scenarios.

[0050] In one embodiment, the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and character string to be detected.

[0051] The Chinese text content to be detected indicates text content formed by Chinese words, and English text content to be detected indicates text content formed by capitalized and lowercased letters. The character string to be detected is a string of characters including letters, digits, operational symbols, punctuations and other signs, and some functional signs. A character string can be English text content, and can also be text content consisting of English and digits, and the text content is for example an essay, a piece of news, and a piece of commentary, etc.

[0052] Step 204 - determining a current detection object from the text content to be detected.

[0053] The current detection object is a detection object currently being detected in the text content to be detected, and the current detection object can be determined and obtained from the text content to be detected according to business requirements, product requirements or practical application scenarios. If the text content to be detected is Chinese text content to be detected, the current detection object can be a target Chinese word; if the text content to be detected is English text content to be detected, the current detection object can be a target English word; likewise, if the text content to be detected is a character string to be detected, the current detection object can be a target English letter or a target digit, etc. The text content to be detected can be obtained by forming detection objects, and the detection objects can be Chinese words, English words, English letters or digits, etc.

[0054] For instance, the text content to be detected is Chinese text content to be detected, then the detection objects can be various Chinese words; if the text content to be detected is English text content to be detected, the detection objects can be various English words; if the text content to be detected is a character string to be detected, the detection objects can be various English letters or digits, etc., that is to say, the detection objects can be understood as constituent elements of the text content to be detected.

[0055] Specifically, after the text content to be detected has been obtained, it is possible to determine the current detection object from the text content to be detected. The mode of determining the current detection object can be self-defined, such self-definition can be to randomly determine a certain detection object from the text content to be detected as the current detection object, it is also possible to determine the current detection object from the text content to be detected according to business requirements, practical application scenarios or product requirements, and the self-definition can further be to sequentially determine each detection object in the text content to be detected as the current detection object.

[0056] Step 206 - basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected.

[0057] The collection of current location distance features here is a collection of current location distance features to which the current detection object corresponds in the text content to be detected. The current location distance features to which the current detection object corresponds are location distance features between all current detection objects in the text content to be detected, and it is possible to base on the current location distance features to determine the specific location of each current detection object in the text content to be detected.

[0058] Basing on the current detection object to perform feature processing on the text content to be detected can specifically be to obtain the current location to which each current detection object corresponds in the text content to be detected, to base on the current location to which each current detection object corresponds to calculate to obtain the corresponding current location distance features, and to thereby obtain a collection of current location distance features corresponding to the text content to be detected. The process can specifically be to obtain a first location of the current detection object in the text content to be detected, to traverse each of the detection objects in the text content to be detected according to a specified sequence, to obtain a previous current detection object to which the current detection object corresponds to which the first location corresponds in the text content to be detected, to obtain a second location of the previous current detection object in the text content to be detected, and finally to base on the first location and the second location to calculate to obtain a current location distance feature of the current detection object. Further, a next current detection object is obtained from the text content to be detected, the next current detection object is determined as the current detection object, and the step of traversing the text content to be detected according to a specified sequence is returned, until current location distance features to which the various current detection objects correspond are obtained, and finally the current location distance features to which the various current detection objects correspond can be based on to generate the collection of current location distance features corresponding to the text content to be detected.

[0059] Basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected can specifically be to arrange the various current location distance features according to the sequential order of the various current detection objects in the text content to be detected, and to hence generate the collection of current location distance features.

[0060] Step 208 - obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content.

[0061] The candidate text content here is standard text content used to detect the text content to be detected, and the candidate text content can be determined and obtained according to business requirements, practical application scenarios or product requirements. The candidate text content can be further obtained from the great quantity of webpages by the currently available crawling technology.

[0062] After the candidate text content has been obtained, it is possible to base on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content. Basing on the current detection object to perform feature processing on the candidate text content can be to obtain a current candidate location to which each of current detection objects corresponds in the candidate text content, to base on the current candidate location to which each of current detection objects corresponds to calculate to obtain the corresponding current location distance features, and to thereby obtain the collection of candidate location distance features corresponding to the candidate text content. <semantics>⌈0063⌉<annotation encoding="application / x-tex">\lceil 0063 \rceil< / annotation>< / semantics> The process can specifically be to obtain a third location of the current detection object in the candidate text content, to traverse the various detection objects in the candidate text content according to a specified sequence, to obtain a previous current detection object of the current detection object to which the third location corresponds in the candidate text content, to obtain a fourth location of the previous current detection object in the candidate text content, and finally to base on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object; further, a next current detection object is obtained from the candidate text content, the next current detection object is determined as the current detection object, and the step of traversing the candidate text content according to a specified sequence is returned, until current candidate location distance features to which the various current detection objects correspond are obtained. Finally, the current candidate location distance features to which the various current detection objects correspond can be based on to generate the collection of candidate location distance features corresponding to the candidate text content.

[0064] Basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content can specifically be to arrange the various current candidate location distance features according to the sequential order of the various current detection objects in the candidate text content, and to hence generate the collection of candidate location distance features.

[0065] Step 210 – basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0066] Specifically, after the collection of current location distance features and the collection of candidate location distance features have been obtained, it is possible to base on the two to determine a detection mode of the text content to be detected. The process can specifically be to determine the detection mode of the text content to be detected according to whether the collection of current location distance features matches with the collection of candidate location distance features; when the collection of current location distance features matches with the collection of candidate location distance features, the detection mode of the text content to be detected can be determined as detecting on a one-by-one basis the various detection objects in the text content to be detected; to the contrary, when the collection of current location distance features does not match with the collection of candidate location distance features, the detection mode of the text content to be detected can be determined as not detecting the text content to be detected. Accordingly, before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection objects of the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, whereby it is made possible to reduce invalid detection of text content, to thereby enhance text content detection efficiency.

[0067] Determining whether the collection of current location distance features matches with the collection of candidate location distance features can specifically be to compare whether the current location distance features in the collection of current location distance features are the same as the location distance features in the collection of candidate location distance features, and if the locations of the current location distance features in the collection of current location distance features are the same as the locations in the collection of candidate location distance features, it can then be determined that the collection of current location distance features matches with the collection of candidate location distance features; otherwise, if the current location distance features in the collection of current location distance features are not the same as the location distance features in the collection of candidate location distance features, or the locations of the current location distance features in the collection of current location distance features are not the same as the locations in the collection of candidate location distance features, it can then be determined that the collection of current location distance features does not match with the collection of candidate location distance features. 100681 In the aforementioned method of determining a text content detection mode, text content to be detected is obtained; a current detection object is determined from the text content to be detected; the current detection object is based on to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected; candidate text content is obtained, and the current detection object is based on to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and the collection of current location distance features and the collection of candidate location distance features are based on to determine a detection mode of the text content to be detected. Accordingly, before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection object of the text content to be detected and the candidate location distance features of the candidate text content can be based on to determine the corresponding detection mode of the text content to be detected, and hence to perform detection on the text content to be detected according to the detection mode, whereby it is made possible to reduce invalid detection of text content, to thereby enhance text content detection efficiency. 100691 In one embodiment, as shown in Fig. 3, the step of basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected includes the following steps.

[0070] Step 302 – obtaining a first location of the current detection object in the text content to be detected. |0071| Step 304 - traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected. 100721 Step 306 - obtaining a second location of the previous current detection object in the text content to be detected. |0073| Step 308 - basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected. |0074| The current detection object is a detection object currently being detected in the text content to be detected, and the current detection object can be determined and obtained from the text content to be detected according to business requirements, product requirements or practical application scenarios. If the text content to be detected is Chinese text content to be detected, the current detection object can be a target Chinese word; if the text content to be detected is English text content to be detected, the current detection object can be a target English word; likewise, if the text content to be detected is a character string to be detected, the current detection object can be a target English letter or a target digit, etc. The text content to be detected can be obtained by forming detection objects, and the detection objects can be Chinese words, English words, English letters or digits, etc.

[0075] Specifically, a first location of the current detection object is obtained in the text content to be detected, and the first location here means the location of the current detection object in the text content to be detected, and then the various detection objects in the text content to be detected are traversed according to a specified sequence; the specified sequence can be determined and obtained according to business requirements, product requirements or practical application scenarios, for instance, the specified sequence can be to take the initial detection object of the text content to be detected as the starting point to backwardly traverse the text content to be detected.

[0076] Further, by traversing the various detection objects of the text content to be detected, the previous current detection object in the text content to be detected is obtained. The previous current detection object here is meant relative to the current detection object, the previous current detection object can be identical with the current detection object, but the previous current detection object is located before the current detection object in the text content to be detected. At the same time, a second location of the previous current detection object is obtained in the text content to be detected, and the second location here is used to describe the location of the previous current detection object in the text content to be detected. Finally, the first location and the second location can be based on to calculate to obtain a current location distance feature of the current detection object in the text content to be detected, and the process can specifically be to determine the absolute value of the location difference between the first location and the second location as the current location distance feature of the current detection object in the text content to be detected. |0077| Step 310 - obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the text content to be detected according to a specified sequence, until current location distance features to which the various current detection objects correspond are obtained.

[0078] Step 312 - basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. 100791 Specifically, after the current location distance features to which the current detection objects correspond have been obtained, the next current detection object is obtained, the next current detection object can be relative to the current detection object, and the next current detection object can be identical with the current detection object, but the next current detection object is located after the current detection object in the text content to be detected. Further, the next current detection object is determined as the current detection object, and the step of traversing the text content to be detected according to a specified sequence is returned, until current location distance features to which the various current detection objects correspond are obtained.

[0080] For instance, the text content to be detected is abcdabcaba, and the current detection object is the second a; since the current detection object is located at the fifth place in the text content to be detected, so the first location of the current detection object can be obtained as: 5; at the same time, the previous current detection object of the current detection object is obtained as the first a, since the previous current detection object is located at the first place in the text content to be detected, so the second location of the previous current detection object can be obtained as: 1; finally, the first location and the second location are based on to calculate to obtain the current location distance feature of the current detection object in the text content to be detected as: 4. Further, the next current detection object is obtained as the third a, the next current detection object is determined as the current detection object, the first location corresponding thereto is obtained as: 8, the previous current detection object to which the current detection object corresponds is obtained as the second a, its second location is: 5, and it can be determined that the current location distance feature of the current detection object is: 3, and so on so forth, it can be learnt that the collection of current location distance features corresponding to the text content to be detected is: [4,3,2].

[0081] In one embodiment, as shown in Fig. 4, the step of basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content includes the following steps.

[0082] Step 402 – obtaining a third location of the current detection object in the candidate text content.

[0083] Step 404 – traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content.

[0084] Step 406 – obtaining a fourth location of the previous current detection object in the candidate text content. |0085| Step 408 - basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content.

[0086] Specifically, a third location of the current detection object is obtained in the candidate text content, and the third location here means the location of the current detection object in the candidate text content, and then the various detection objects in the candidate text content are traversed according to a specified sequence; the specified sequence can be determined and obtained according to business requirements, product requirements or practical application scenarios, for instance, the specified sequence can be to take the initial detection object of the candidate text content as the starting point to backwardly traverse the candidate text content.

[0087] Further, by traversing the various detection objects of the candidate text content, the previous current detection object in the candidate text content is obtained. The previous current detection object here is meant relative to the current detection object, the previous current detection object can be identical with the current detection object, but the previous current detection object is located before the current detection object in the candidate text content. At the same time, a fourth location of the previous current detection object is obtained in the candidate text content, and the fourth location here is used to describe the location of the previous current detection object in the candidate text content. Finally, the third location and the fourth location can be based on to calculate to obtain a current location distance feature of the current detection object in the candidate text content, and the process can specifically be to determine the absolute value of the location difference between the third location and the fourth location as the current location distance feature of the current detection object in the candidate text content.

[0088] Step 410 – obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained.

[0089] Step 412 - basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content. |0090| Specifically, after the current location distance features to which the current detection objects correspond have been obtained, the next current detection object is obtained, the next current detection object can be relative to the current detection object, and the next current detection object can be identical with the current detection object, but the next current detection object is located after the current detection object in the candidate text content. Further, the next current detection object is determined as the current detection object, and the step of traversing the candidate text content according to a specified sequence is returned, until current location distance features to which the various current detection objects correspond are obtained.

[0091] For instance, the candidate text content is abcdabca, and the current detection object is the second a; since the current detection object is located at the fifth place in the candidate text content, so the third location of the current detection object can be obtained as: 5; at the same time, the previous current detection object of the current detection object is obtained as the first a, since the previous current detection object is located at the first place in the candidate text content, so the fourth location of the previous current detection object can be obtained as: 1. Finally, the third location and the fourth location are based on to calculate to obtain the current location distance feature of the current detection object in the candidate text content as: 4. Further, the next current detection object is obtained as the third a, the next current detection object is determined as the current detection object, the third location corresponding thereto is obtained as: 8, the previous current detection object to which the current detection object corresponds is obtained as the second a, its fourth location is: 5, and it can be determined that the current location distance feature of the current detection object is: 3, and so on so forth, it can be learnt that the collection of current location distance features corresponding to the candidate text content is: [4,3]. 100921 In one embodiment, as shown in Fig. 5, the step of basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected includes: |0093| Step 502 – determining the detection mode of the text content to be detected as detecting on a one-by-one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and

[0094] Step 504 – determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features.

[0095] Specifically, after the collection of current location distance features and the collection of candidate location distance features have been obtained, it is possible to base on the two to determine a detection mode of the text content to be detected. The process can specifically be to determine the detection mode of the text content to be detected according to whether the collection of current location distance features matches with the collection of candidate location distance features; when the collection of current location distance features matches with the collection of candidate location distance features, the detection mode of the text content to be detected can be determined as detecting on a one-by-one basis the various detection objects in the text content to be detected; to the contrary, when the collection of current location distance features does not match with the collection of candidate location distance features, the detection mode of the text content to be detected can be determined as not detecting the text content to be detected. Accordingly, before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection objects of the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, whereby it is made possible to reduce invalid detection of text content, to thereby enhance text content detection efficiency.

[0096] Determining whether the collection of current location distance features matches with the collection of candidate location distance features can specifically be to compare whether the current location distance features in the collection of current location distance features are the same as the location distance features in the collection of candidate location distance features, and if the locations of the current location distance features in the collection of current location distance features are the same as the locations in the collection of candidate location distance features, it can then be determined that the collection of current location distance features matches with the collection of candidate location distance features; otherwise, if the current location distance features in the collection of current location distance features are not the same as the location distance features in the collection of candidate location distance features, or the locations of the current location distance features in the collection of current location distance features are not the same as the locations in the collection of candidate location distance features, it can then be determined that the collection of current location distance features does not match with the collection of candidate location distance features. 100971 For instance, the collection of the current location distance features is: [4,2], and the collection of the candidate location distance features is: [4,2,3,6], since the current location distance features 4, 2 in the collection of the current location distance features are the same as those in the collection of the candidate location distance features, and locations 4,2 in the collection of the current location distance features are the same as the 4,2 in the collection of the candidate location distance features, it can be determined that the collection of current location distance features matches with the collection of candidate location distance features.

[0098] For further instance, the collection of the current location distance features is: [4,2], and the collection of the candidate location distance features is: [4,3,2,6], since the current location distance features 4, 2 in the collection of the current location distance features are the same as those in the collection of the candidate location distance features, but locations 4,2 in the collection of the current location distance features are not the same as the 4,2 in the collection of the candidate location distance features, because the location distance feature to which the third location corresponds in the collection of candidate location distance features is not 2 but 3, so it can be determined that the collection of current location distance features does not match with the collection of candidate location distance features.

[0099] In one embodiment, as shown in Fig. 6, previous to the step of basing on the current detection object to perform feature processing on the candidate text content, the method further comprises:

[0100] Step 602 – detecting whether there is a same detection object in the candidate text content as the current detection object;

[0101] Step 604 – returning to the step of determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and

[0102] Step 606 - entering the step of basing on the current detection object to perform feature processing on the candidate text content when there is the same detection object in the candidate text content as the current detection object.

[0103] Before basing on the current detection object to perform feature processing on the candidate text content, it is required to detect whether there is the same detection object in the candidate text content as the current detection object, if there is no same detection object in the candidate text content as the current detection object, it would be impossible to base on the current detection object to perform feature processing on the candidate text content, when there is the same detection object in the candidate text content as the current detection object, it is then possible to base on the current detection object to perform feature processing on the candidate text content. Specifically, detecting whether there is a same detection object in the candidate text content as the current detection object can specifically be to traverse the various detection objections one by one in the candidate text content, if the same detection object as the current detection object is traversed, it can be determined that there is the same detection object in the candidate text content as the current detection object; to the contrary, if the same detection object as the current detection object is not traversed, it can be determined that there is no same detection object in the candidate text content as the current detection object.

[0104] Further, when there is no same detection object in the candidate text content as the current detection object, the process returns to the step of determining a current detection object from the text content to be detected to determine anew the current detection object, until the same detection object as the current detection object is detected in the candidate text content, and only then can the process reenter the step of basing on the current detection object to perform feature processing on the candidate text content. However, when there is the same detection object in the candidate text content as the current detection object, the process directly enters the step of basing on the current detection object to perform feature processing on the candidate text content.

[0105] In one specific embodiment, there is provided a method of determining a text content detection mode, and the method specifically comprises the following steps:

[0106] obtaining text content to be detected, wherein the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and character string to be detected.

[0107] determining a current detection object from the text content to be detected.

[0108] detecting whether there is a same detection object in the candidate text content as the current detection object.

[0109] returning to Step 2 when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content. <semantics>⌈0110⌉<annotation encoding="application / x-tex">\lceil 0110 \rceil< / annotation>< / semantics> entering Step 6 when there is the same detection object in the candidate text content as the current detection object.

[0111] basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected.

[0112] 6-1. obtaining a first location of the current detection object in the text content to be detected.

[0113] 6-2. traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected.

[0114] 6-3. obtaining a second location of the previous current detection object in the text content to be detected.

[0115] 6-4. basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected.

[0116] 6-5. obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the text content to be detected according to a specified sequence, until current location distance features to which the various current detection objects correspond are obtained.

[0117] 6-6. basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected.

[0118] obtaining candidate text content, basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content.

[0119] 7-1. obtaining a third location of the current detection object in the candidate text content.

[0120] 7-2. traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content.

[0121] 7-3. obtaining a fourth location of the previous current detection object in the candidate text content.

[0122] 7-4. basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content.

[0123] 7-5. obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained.

[0124] 7-6. basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content.

[0125] basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0126] 8-1. determining the detection mode of the text content to be detected as detecting on a one-by-one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features.

[0127] 8-2. determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features.

[0128] As should be understood, although the various steps in the aforementioned flowcharts are sequentially displayed as indicated by arrows, these steps are not necessarily executed in the sequences indicated by arrows. Unless otherwise explicitly noted in this paper, execution of these steps is not restricted by any sequence, as these steps can also be executed in other sequences (than those indicated in the drawings). Moreover, at least partial steps in the aforementioned flowcharts may include plural sub-steps or multi-phases, these sub-steps or phases are not necessarily completed at the same timing, but can be executed at different timings, and these sub- steps or phases are also not necessarily sequentially performed, but can be performed in turns or alternately with other steps or with at least some of sub-steps or phases of other steps.

[0129] In one embodiment, as shown in Fig. 7, there is provided a device 700 for determining a text content detection mode, which device comprises a text content obtaining module 702, a detection object determining module 704, a text content processing module 706, a candidate text content processing module 708 and a detection mode determining module 710, of which:

[0130] the text content obtaining module 702 is employed for obtaining text content to be detected;

[0131] the detection object determining module 704 is employed for determining a current detection object from the text content to be detected;

[0132] the text content processing module 706 is employed for basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected;

[0133] the candidate text content processing module 708 is employed for obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and

[0134] the detection mode determining module 710 is employed for basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0135] In one embodiment, the text content processing module 706 is further employed for obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the text content to be detected according to a specified sequence, until current location distance features to which the various current detection objects correspond are obtained; and basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected.

[0136] In one embodiment, the candidate text content processing module 708 is further employed for obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content. |0137| In one embodiment, the detection mode determining module 710 is further employed for determining the detection mode of the text content to be detected as detecting on a one-by- one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features.

[0138] In one embodiment, the device 700 for determining a text content detection mode is further employed for detecting whether there is a same detection object in the candidate text content as the current detection object; returning to the detection object determining module 704 to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering the candidate text content processing module 708 to base on the current detection object to perform feature processing on the candidate text content when there is the same detection object in the candidate text content as the current detection object.

[0139] Specific definitions relevant to the device for determining a text content detection mode may be inferred from the aforementioned definitions to the method of determining a text content detection mode, while no repetition is made in this context. The various modules in the aforementioned device for determining a text content detection mode can be wholly or partly realized via software, hardware, and a combination of software with hardware. The various modules can be embedded in the form of hardware in a processor in a computer equipment or independent of any computer equipment, and can also be stored in the form of software in a memory in a computer equipment, so as to facilitate the processor to invoke and perform operations corresponding to the aforementioned various modules.

[0140] In one embodiment, a computer equipment is provided, the computer equipment can be a server, and its internal structure can be as shown in Fig. 8. The computer equipment comprises a processor, a memory, a network interface and a database connected to each other via a system bus. The processor of the computer equipment is employed to provide computing and controlling capabilities. The memory of the computer equipment includes a nonvolatile storage medium and an internal memory. The nonvolatile storage medium stores therein an operating system, a computer program and a database. The internal memory provides environment for the running of the operating system and the computer program in the nonvolatile storage medium. The database of the computer equipment is employed to store candidate text content. The network interface of the computer equipment is employed to connect to an external terminal via network for communication. The computer program realizes a method of determining a text content detection mode when it is executed by a processor.

[0141] In one embodiment, a computer equipment is provided, the computer equipment can be a terminal, and its internal structure can be as shown in Fig. 9. The computer equipment comprises a processor, a memory, a network interface, a display screen and an input means connected to each other via a system bus. The processor of the computer equipment is employed to provide computing and controlling capabilities. The memory of the computer equipment includes a nonvolatile storage medium and an internal memory. The nonvolatile storage medium stores therein an operating system and a computer program. The internal memory provides environment for the running of the operating system and the computer program in the nonvolatile storage medium. The network interface of the computer equipment is employed to connect to an external terminal via network for communication. The computer program realizes a method of determining a text content detection mode when it is executed by a processor. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, the input means of the computer equipment can be a touch layer covering on the display screen, can also be a press button, a track ball or a touch control board disposed on the housing of the computer equipment, and can further be an externally connected keyboard, touch control board or mouse, etc.

[0142] As understandable to persons skilled in the art, the structure illustrated in Fig. 8 or 9 is merely a block diagram of partial structure relevant to the solution of the present application, and does not constitute any restriction to the computer equipment on which the solution of the present application is applied, as the specific computer equipment may comprise component parts that are more than or less than those illustrated in Fig. 8 or 9, or may combine certain component parts, or may have different layout of component parts.

[0143] In one embodiment, there is provided a computer equipment that comprises a memory, a processor and a computer program stored on the memory and executable on the processor, and the following steps are realized when the processor executes the computer program: obtaining text content to be detected; determining a current detection object from the text content to be detected; basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected; obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0144] In one embodiment, the following steps are further realized when the processor executes the computer program: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the text content to be detected according to a specified sequence, until current location distance features to which the various current detection objects correspond are obtained; and basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. |0145| In one embodiment, the following steps are further realized when the processor executes the computer program: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content.

[0146] In one embodiment, the following steps are further realized when the processor executes the computer program: determining the detection mode of the text content to be detected as detecting on a one-by-one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features. |0147| In one embodiment, the following steps are further realized when the processor executes the computer program: detecting whether there is a same detection object in the candidate text content as the current detection object; returning to the step of determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering the step of basing on the current detection object to perform feature processing on the candidate text content when there is the same detection object in the candidate text content as the current detection object.

[0148] In one embodiment, there is provided a computer-readable storage medium storing thereon a computer program, and the following steps are realized when the computer program is executed by a processor: obtaining text content to be detected; determining a current detection object from the text content to be detected; basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected; obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content; and basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected.

[0149] In one embodiment, the following steps are further realized when the processor executes the computer program: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the text content to be detected according to a specified sequence, until current location distance features to which the various current detection objects correspond are obtained; and basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected.

[0150] In one embodiment, the following steps are further realized when the processor executes the computer program: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content; obtaining a next current detection object, determining the next current detection object as the current detection object, and returning to the step of traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content.

[0151] In one embodiment, the following steps are further realized when the processor executes the computer program: determining the detection mode of the text content to be detected as detecting on a one-by-one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features.

[0152] In one embodiment, the following steps are further realized when the processor executes the computer program: detecting whether there is a same detection object in the candidate text content as the current detection object; returning to the step of determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering the step of basing on the current detection object to perform feature processing on the candidate text content when there is the same detection object in the candidate text content as the current detection object.

[0153] As comprehensible to persons ordinarily skilled in the art, the entire or partial flows in the methods according to the aforementioned embodiments can be completed via a computer program instructing relevant hardware, the computer program can be stored in a nonvolatile computer-readable storage medium, and the computer program can include the flows as embodied in the aforementioned various methods when executed. Any reference to the memory, storage, database or other media used in the various embodiments provided by the present application can all include nonvolatile and / or volatile memory / memories. The nonvolatile memory can include a read-only memory (ROM), a programmable ROM (PROM), an electrically programmable ROM (EPROM), an electrically erasable and programmable ROM (EEPROM) or a flash memory. The volatile memory can include a random access memory (RAM) or an external cache memory. To serve as explanation rather than restriction, the RAM is obtainable in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct Rambus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0154] Technical features of the aforementioned embodiments are randomly combinable, while all possible combinations of the technical features in the aforementioned embodiments are not exhausted for the sake of brevity, but all these should be considered to fall within the scope recorded in the description as long as such combinations of the technical features are not mutually contradictory.

[0155] The foregoing embodiments are merely directed to several modes of execution of the present application, and their descriptions are relatively specific and detailed, but they should not be hence misunderstood as restrictions to the inventive patent scope. As should be pointed out, persons with ordinary skill in the art may further make various modifications and improvements without departing from the conception of the present application, and all these should pertain to the protection scope of the present application. Accordingly, the patent protection scope of the present application shall be based on the attached Claims.

Claims

<pat:ClaimStatement>Claims: A text content detection mode determining equipment, the equipment comprising: at least one processor; a memory, connected with the at least one processor; wherein the memory stores an instruction executable by the at least one processor configured to: obtain text content to be detected; determine a current detection object from the text content to be detected; based on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected, wherein the current location distance features to which the current detection object corresponds includes location distance features between a first location of the current detection object and a second location of the current detection object in the text content to be detected; obtain candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content, wherein the candidate location distance features to which the current detection object corresponds includes location distance features between a third location of the current detection object and a forth location of the current detection object in the candidate text content; and based on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected including whether the collection of current location distance features matches with the collection of candidate location distance features.< / pat:ClaimStatement> <pat:Claims com:id="claims"> <pat:Claim com:id="CLM-00002"> <pat:ClaimNumber>2< / pat:ClaimNumber> <pat:ClaimText>2. The equipment of claim 1, wherein the equipment further comprises: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00003"> <pat:ClaimNumber>3< / pat:ClaimNumber> <pat:ClaimText>3. The equipment of any one of the claims 1 to 2, wherein the equipment further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the text content to be detected according to a specified sequence, until current location distance features to which various current detection objects correspond are obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00004"> <pat:ClaimNumber>4< / pat:ClaimNumber> <pat:ClaimText>4. The equipment of any one of the claims 1 to 3, wherein the equipment further comprises: basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00005"> <pat:ClaimNumber>5< / pat:ClaimNumber> <pat:ClaimText>5. The equipment of claim 1, wherein the equipment further comprises: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00006"> <pat:ClaimNumber>6< / pat:ClaimNumber> <pat:ClaimText>6. The equipment of any one of the claims 1 and 5, wherein the equipment further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00007"> <pat:ClaimNumber>7< / pat:ClaimNumber> <pat:ClaimText>7. The equipment of claim 1, wherein the equipment further comprises: determining the detection mode of the text content to be detected as detecting on a one-by- one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00008"> <pat:ClaimNumber>8< / pat:ClaimNumber> <pat:ClaimText>8. The equipment of claim 1, wherein the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and a character string to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00009"> <pat:ClaimNumber>9< / pat:ClaimNumber> <pat:ClaimText>9. The equipment of claim 1, wherein the equipment further comprises: detecting whether there is a same detection object in the candidate text content as the current detection object; determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering basing on the current detection object to perform feature processing on the candidate text content when there is a same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00010"> <pat:ClaimNumber>10< / pat:ClaimNumber> <pat:ClaimText>10. The equipment of any one of the claims 1 to 9, wherein the terminal obtains text content to be detected, and sends the text content to be detected to server. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00011"> <pat:ClaimNumber>11< / pat:ClaimNumber> <pat:ClaimText>11. The equipment of any one of the claims 1 to 10, wherein the text content to be detected is text content that is currently being detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00012"> <pat:ClaimNumber>12< / pat:ClaimNumber> <pat:ClaimText>12. The equipment of any one of the claims 1 to 11, wherein the text content is a sentence or a combination of sentences having complete and systematic meanings, and the text content is a sentence, a paragraph, a chapter or a character string. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00013"> <pat:ClaimNumber>13< / pat:ClaimNumber> <pat:ClaimText>13. The equipment of any one of the claims 1 to 12, wherein the text content is English text content, Chinese text content, a character string or a combination thereof. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00014"> <pat:ClaimNumber>14< / pat:ClaimNumber> <pat:ClaimText>14. The equipment of any one of the claims 1 to 13, wherein obtainment of the text content is done by crawling from a great quantity of webpages through currently available crawling technology, or according to business requirements, product requirements or other application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00015"> <pat:ClaimNumber>15< / pat:ClaimNumber> <pat:ClaimText>15. The equipment of any one of the claims 1 to 14, wherein the Chinese text content to be detected indicates text content formed by Chinese words, and English text content to be detected indicates text content formed by capitalized and lowercased letters. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00016"> <pat:ClaimNumber>16< / pat:ClaimNumber> <pat:ClaimText>16. The equipment of any one of the claims 1 to 15, wherein the character string to be detected is a string of characters including letters, digits, operational symbols, punctuations and other signs, and functional signs. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00017"> <pat:ClaimNumber>17< / pat:ClaimNumber> <pat:ClaimText>17. The equipment of any one of the claims 1 to 16, wherein a character string is English text content, and can also be text content consisting of English and digits, and the text content is including an essay, a piece of news, and a piece of commentary. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00018"> <pat:ClaimNumber>18< / pat:ClaimNumber> <pat:ClaimText>18. The equipment of any one of the claims 1 to 17, wherein the current detection object is a detection object currently being detected in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00019"> <pat:ClaimNumber>19< / pat:ClaimNumber> <pat:ClaimText>19. The equipment of any one of the claims 1 to 18, wherein the current detection object is determined and obtained from the text content to be detected according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00020"> <pat:ClaimNumber>20< / pat:ClaimNumber> <pat:ClaimText>20. The equipment of any one of the claims 1 to 19, wherein when the text content to be detected is Chinese text content to be detected, the current detection object is a target Chinese word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00021"> <pat:ClaimNumber>21< / pat:ClaimNumber> <pat:ClaimText>21. The equipment of any one of the claims 1 to 20, wherein when the text content to be detected is English text content to be detected, the current detection object is a target English word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00022"> <pat:ClaimNumber>22< / pat:ClaimNumber> <pat:ClaimText>22. The equipment of any one of the claims 1 to 21, wherein when the text content to be detected is the character string to be detected, the current detection object is a target English letter or a target digit. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00023"> <pat:ClaimNumber>23< / pat:ClaimNumber> <pat:ClaimText>23. The equipment of any one of the claims 1 to 22, wherein the text content to be detected is obtained by forming detection objects, and the detection objects is Chinese words, English words, English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00024"> <pat:ClaimNumber>24< / pat:ClaimNumber> <pat:ClaimText>24. The equipment of any one of the claims 1 to 23, wherein the text content to be detected is Chinese text content to be detected, then the detection objects is various Chinese words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00025"> <pat:ClaimNumber>25< / pat:ClaimNumber> <pat:ClaimText>25. The equipment of any one of the claims 1 to 24, wherein when the text content to be detected is English text content to be detected, the detection objects is various English words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00026"> <pat:ClaimNumber>26< / pat:ClaimNumber> <pat:ClaimText>26. The equipment of any one of the claims 1 to 25, wherein when the text content to be detected is the character string to be detected, the detection objects is various English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00027"> <pat:ClaimNumber>27< / pat:ClaimNumber> <pat:ClaimText>27. The equipment of any one of the claims 1 to 26, wherein the detection objects are constituent elements of the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00028"> <pat:ClaimNumber>28< / pat:ClaimNumber> <pat:ClaimText>28. The equipment of any one of the claims 1 to 27, wherein the mode of determining the current detection object is self-defined, such self-definition is to randomly determine a certain detection object from the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00029"> <pat:ClaimNumber>29< / pat:ClaimNumber> <pat:ClaimText>29. The equipment of any one of the claims 1 to 28, wherein determining the current detection object from the text content to be detected is according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00030"> <pat:ClaimNumber>30< / pat:ClaimNumber> <pat:ClaimText>30. The equipment of any one of the claims 1 to 29, wherein self-definition includes sequentially determining each detection object in the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00031"> <pat:ClaimNumber>31< / pat:ClaimNumber> <pat:ClaimText>31. The equipment of any one of the claims 1 to 30, wherein the current location distance features to which the current detection object corresponds are location distance features between all current detection objects in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00032"> <pat:ClaimNumber>32< / pat:ClaimNumber> <pat:ClaimText>32. The equipment of any one of the claims 1 to 31, wherein basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected is to arrange the various current location distance features according to a sequential order of the various current detection objects in the text content to be detected, and to generate the collection of current location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00033"> <pat:ClaimNumber>33< / pat:ClaimNumber> <pat:ClaimText>33. The equipment of any one of the claims 1 to 32, wherein the candidate text content is standard text content used to detect the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00034"> <pat:ClaimNumber>34< / pat:ClaimNumber> <pat:ClaimText>34. The equipment of any one of the claims 1 to 33, wherein the candidate text content is determined and obtained according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00035"> <pat:ClaimNumber>35< / pat:ClaimNumber> <pat:ClaimText>35. The equipment of any one of the claims 1 to 34, wherein the candidate text content is further obtained from the quantity of webpages by currently available crawling technology. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00036"> <pat:ClaimNumber>36< / pat:ClaimNumber> <pat:ClaimText>36. The equipment of any one of the claims 1 to 35, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection objects of the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00037"> <pat:ClaimNumber>37< / pat:ClaimNumber> <pat:ClaimText>37. The equipment of any one of the claims 1 to 36, wherein determining whether the collection of current location distance features matches with the collection of candidate location distance features is to compare whether the current location distance features in the collection of current location distance features are the same as the location distance features in the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00038"> <pat:ClaimNumber>38< / pat:ClaimNumber> <pat:ClaimText>38. The equipment of any one of the claims 1 to 37, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection object of the text content to be detected and the candidate location distance features of the candidate text content is based on to determine the corresponding detection mode of the text content to be detected, and hence to perform detection on the text content to be detected according to the detection mode, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00039"> <pat:ClaimNumber>39< / pat:ClaimNumber> <pat:ClaimText>39. The equipment of any one of the claims 1 to 38, wherein the first location includes the location of the current detection object in the text content to be detected, and then the various detection objects in the text content to be detected are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00040"> <pat:ClaimNumber>40< / pat:ClaimNumber> <pat:ClaimText>40. The equipment of any one of the claims 1 to 39, wherein the specified sequence is determined and obtained according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00041"> <pat:ClaimNumber>41< / pat:ClaimNumber> <pat:ClaimText>41. The equipment of any one of the claims 1 to 40, wherein the specified sequence is to take an initial detection object of the text content to be detected as a starting point to backwardly traverse the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00042"> <pat:ClaimNumber>42< / pat:ClaimNumber> <pat:ClaimText>42. The equipment of any one of the claims 1 to 41, wherein when traversing the various detection objects of the text content to be detected, the previous current detection object in the text content to be detected is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00043"> <pat:ClaimNumber>43< / pat:ClaimNumber> <pat:ClaimText>43. The equipment of any one of the claims 1 to 42, wherein the previous current detection object is located before the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00044"> <pat:ClaimNumber>44< / pat:ClaimNumber> <pat:ClaimText>44. The equipment of any one of the claims 1 to 43, wherein the first location and the second location is based on to calculate to obtain a current location distance feature of the current detection object in the text content to be detected, and to determine the absolute value of the location difference between the first location and the second location as the current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00045"> <pat:ClaimNumber>45< / pat:ClaimNumber> <pat:ClaimText>45. The equipment of any one of the claims 1 to 44, wherein when the current location distance features to which the current detection objects correspond have been obtained, the next current detection object is obtained, the next current detection object is relative to the current detection object, and the next current detection object is identical with the current detection object, but the next current detection object is located after the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00046"> <pat:ClaimNumber>46< / pat:ClaimNumber> <pat:ClaimText>46. The equipment of any one of the claims 1 to 45, wherein the third location of the current detection object is obtained in the candidate text content, and the third location means the location of the current detection object in the candidate text content, and then the various detection objects in the candidate text content are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00047"> <pat:ClaimNumber>47< / pat:ClaimNumber> <pat:ClaimText>47. The equipment of any one of the claims 1 to 46, wherein the specified sequence is to take an initial detection object of the candidate text content as a starting point to backwardly traverse the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00048"> <pat:ClaimNumber>48< / pat:ClaimNumber> <pat:ClaimText>48. The equipment of any one of the claims 1 to 47, wherein by traversing the various detection objects of the candidate text content, the previous current detection object in the candidate text content is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00049"> <pat:ClaimNumber>49< / pat:ClaimNumber> <pat:ClaimText>49. The equipment of any one of the claims 1 to 48, wherein the previous current detection object is relative to the current detection object, and the previous current detection object is identical with the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00050"> <pat:ClaimNumber>50< / pat:ClaimNumber> <pat:ClaimText>50. The equipment of any one of the claims 1 to 49, wherein the previous current detection object is located before the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00051"> <pat:ClaimNumber>51< / pat:ClaimNumber> <pat:ClaimText>51. The equipment of any one of the claims 1 to 50, wherein the fourth location of the previous current detection object is obtained in the candidate text content, and the fourth location is used to describe the location of the previous current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00052"> <pat:ClaimNumber>52< / pat:ClaimNumber> <pat:ClaimText>52. The equipment of any one of the claims 1 to 51, wherein the third location and the fourth location is based on to calculate to obtain a current location distance feature of the current detection object in the candidate text content, and to determine the absolute value of the location difference between the third location and the fourth location as the current location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00053"> <pat:ClaimNumber>53< / pat:ClaimNumber> <pat:ClaimText>53. The equipment of any one of the claims 1 to 52, wherein the next current detection object is located after the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00054"> <pat:ClaimNumber>54< / pat:ClaimNumber> <pat:ClaimText>54. The equipment of any one of the claims 1 to 53, wherein when the locations of the current location distance features in the collection of current location distance features are the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features matches with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00055"> <pat:ClaimNumber>55< / pat:ClaimNumber> <pat:ClaimText>55. The equipment of any one of the claims 1 to 54, wherein when the current location distance features in the collection of current location distance features are not the same as the location distance features in the collection of candidate location distance features, or the locations of the current location distance features in the collection of current location distance features are not the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00056"> <pat:ClaimNumber>56< / pat:ClaimNumber> <pat:ClaimText>56. The equipment of any one of the claims 1 to 55, wherein detecting whether there is a same detection object in the candidate text content as the current detection object is to traverse the various detection objections one by one in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00057"> <pat:ClaimNumber>57< / pat:ClaimNumber> <pat:ClaimText>57. The equipment of any one of the claims 1 to 56, wherein when the same detection object as the current detection object is traversed, determining that there is the same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00058"> <pat:ClaimNumber>58< / pat:ClaimNumber> <pat:ClaimText>58. The equipment of any one of the claims 1 to 57, wherein when the same detection object as the current detection object is not traversed, it is determined that there is no same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00059"> <pat:ClaimNumber>59< / pat:ClaimNumber> <pat:ClaimText>59. A text content detection determination device, the device comprising: a text content obtaining module, for obtaining text content to be detected; a detection object determining module, for determining a current detection object from the text content to be detected; a text content processing module, for basing on the current detection object to perform feature processing on the text content to be detected, to obtain a collection of current location distance features corresponding to the text content to be detected, wherein the current location distance features to which the current detection object corresponds includes location distance features between a first location of the current detection object and a second location of the current detection object in the text content to be detected; a candidate text content processing module, for obtaining candidate text content, and basing on the current detection object to perform feature processing on the candidate text content, to obtain a collection of candidate location distance features corresponding to the candidate text content, wherein the candidate location distance features to which the current detection object corresponds includes location distance features between a third location of the current detection object and a forth location of the current detection object in the candidate text content; and a detection mode determining module, for basing on the collection of current location distance features and the collection of candidate location distance features to determine a detection mode of the text content to be detected including whether the collection of current location distance features matches with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00060"> <pat:ClaimNumber>60< / pat:ClaimNumber> <pat:ClaimText>60. The device of claim 59, wherein the device further comprises: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00061"> <pat:ClaimNumber>61< / pat:ClaimNumber> <pat:ClaimText>61. The device of any one of the claims 59 to 60, wherein the device further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the text content to be detected according to a specified sequence, until current location distance features to which various current detection objects correspond are obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00062"> <pat:ClaimNumber>62< / pat:ClaimNumber> <pat:ClaimText>62. The device of any one of the claims 59 to 61, wherein the device further comprises: basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00063"> <pat:ClaimNumber>63< / pat:ClaimNumber> <pat:ClaimText>63. The device of claim 59, wherein the device further comprises: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00064"> <pat:ClaimNumber>64< / pat:ClaimNumber> <pat:ClaimText>64. The device of any one of the claims 59 and 63, wherein the device further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00065"> <pat:ClaimNumber>65< / pat:ClaimNumber> <pat:ClaimText>65. The device of claim 59, wherein the device further comprises: determining the detection mode of the text content to be detected as detecting on a one-by- one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00066"> <pat:ClaimNumber>66< / pat:ClaimNumber> <pat:ClaimText>66. The device of claim 59, wherein the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and a character string to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00067"> <pat:ClaimNumber>67< / pat:ClaimNumber> <pat:ClaimText>67. The device of claim 59, wherein the device further comprises: detecting whether there is a same detection object in the candidate text content as the current detection object; determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering basing on the current detection object to perform feature processing on the candidate text content when there is a same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00068"> <pat:ClaimNumber>68< / pat:ClaimNumber> <pat:ClaimText>68. The device of any one of the claims 59 to 66, wherein a terminal obtains text content to be detected, and sends the text content to be detected to server. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00069"> <pat:ClaimNumber>69< / pat:ClaimNumber> <pat:ClaimText>69. The device of any one of the claims 59 to 68, wherein the text content to be detected is text content that is currently being detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00070"> <pat:ClaimNumber>70< / pat:ClaimNumber> <pat:ClaimText>70. The device of any one of the claims 59 to 69, wherein the text content is a sentence or a combination of sentences having complete and systematic meanings, and the text content is a sentence, a paragraph, a chapter or a character string. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00071"> <pat:ClaimNumber>71< / pat:ClaimNumber> <pat:ClaimText>71. The device of any one of the claims 59 to 70, wherein the text content is English text content, Chinese text content, a character string or a combination thereof. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00072"> <pat:ClaimNumber>72< / pat:ClaimNumber> <pat:ClaimText>72. The device of any one of the claims 59 to 71, wherein obtainment of the text content is done by crawling from a great quantity of webpages through currently available crawling technology, or according to business requirements, product requirements or other application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00073"> <pat:ClaimNumber>73< / pat:ClaimNumber> <pat:ClaimText>73. The device of any one of the claims 59 to 72, wherein the Chinese text content to be detected indicates text content formed by Chinese words, and English text content to be detected indicates text content formed by capitalized and lowercased letters. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00074"> <pat:ClaimNumber>74< / pat:ClaimNumber> <pat:ClaimText>74. The device of any one of the claims 59 to 73, wherein the character string to be detected is a string of characters including letters, digits, operational symbols, punctuations and other signs, and functional signs. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00075"> <pat:ClaimNumber>75< / pat:ClaimNumber> <pat:ClaimText>75. The device of any one of the claims 59 to 74, wherein the character string is English text content, and can also be text content consisting of English and digits, and the text content is including an essay, a piece of news, and a piece of commentary. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00076"> <pat:ClaimNumber>76< / pat:ClaimNumber> <pat:ClaimText>76. The device of any one of the claims 59 to 75, wherein the current detection object is a detection object currently being detected in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00077"> <pat:ClaimNumber>77< / pat:ClaimNumber> <pat:ClaimText>77. The device of any one of the claims 59 to 76, wherein the current detection object is determined and obtained from the text content to be detected according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00078"> <pat:ClaimNumber>78< / pat:ClaimNumber> <pat:ClaimText>78. The device of any one of the claims 59 to 77, wherein when the text content to be detected is Chinese text content to be detected, the current detection object is a target Chinese word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00079"> <pat:ClaimNumber>79< / pat:ClaimNumber> <pat:ClaimText>79. The device of any one of the claims 59 to 78, wherein when the text content to be detected is English text content to be detected, the current detection object is a target English word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00080"> <pat:ClaimNumber>80< / pat:ClaimNumber> <pat:ClaimText>80. The device of any one of the claims 59 to 79, wherein when the text content to be detected is the character string to be detected, the current detection object is a target English letter or a target digit. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00081"> <pat:ClaimNumber>81< / pat:ClaimNumber> <pat:ClaimText>81. The device of any one of the claims 59 to 80, wherein the text content to be detected is obtained by forming detection objects, and the detection objects is Chinese words, English words, English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00082"> <pat:ClaimNumber>82< / pat:ClaimNumber> <pat:ClaimText>82. The device of any one of the claims 59 to 81, wherein the text content to be detected is Chinese text content to be detected, then the detection objects is various Chinese words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00083"> <pat:ClaimNumber>83< / pat:ClaimNumber> <pat:ClaimText>83. The device of any one of the claims 59 to 82, wherein when the text content to be detected is English text content to be detected, the detection objects is various English words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00084"> <pat:ClaimNumber>84< / pat:ClaimNumber> <pat:ClaimText>84. The device of any one of the claims 59 to 83, wherein when the text content to be detected is the character string to be detected, the detection objects is various English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00085"> <pat:ClaimNumber>85< / pat:ClaimNumber> <pat:ClaimText>85. The device of any one of the claims 59 to 84, wherein the detection objects are constituent elements of the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00086"> <pat:ClaimNumber>86< / pat:ClaimNumber> <pat:ClaimText>86. The device of any one of the claims 59 to 85, wherein the mode of determining the current detection object is self-defined, such self-definition is to randomly determine a certain detection object from the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00087"> <pat:ClaimNumber>87< / pat:ClaimNumber> <pat:ClaimText>87. The device of any one of the claims 59 to 86, wherein determining the current detection object from the text content to be detected is according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00088"> <pat:ClaimNumber>88< / pat:ClaimNumber> <pat:ClaimText>88. The device of any one of the claims 59 to 87, wherein self-definition includes sequentially determining each detection object in the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00089"> <pat:ClaimNumber>89< / pat:ClaimNumber> <pat:ClaimText>89. The device of any one of the claims 59 to 88, wherein the current location distance features to which the current detection object corresponds are location distance features between all current detection objects in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00090"> <pat:ClaimNumber>90< / pat:ClaimNumber> <pat:ClaimText>90. The device of any one of the claims 59 to 89, wherein basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected is to arrange the various current location distance features according to a sequential order of the various current detection objects in the text content to be detected, and to generate the collection of current location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00091"> <pat:ClaimNumber>91< / pat:ClaimNumber> <pat:ClaimText>91. The device of any one of the claims 59 to 90, wherein the candidate text content is standard text content used to detect the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00092"> <pat:ClaimNumber>92< / pat:ClaimNumber> <pat:ClaimText>92. The device of any one of the claims 59 to 91, wherein the candidate text content is determined and obtained according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00093"> <pat:ClaimNumber>93< / pat:ClaimNumber> <pat:ClaimText>93. The device of any one of the claims 59 to 92, wherein the candidate text content is further obtained from the quantity of webpages by currently available crawling technology. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00094"> <pat:ClaimNumber>94< / pat:ClaimNumber> <pat:ClaimText>94. The device of any one of the claims 59 to 93, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection objects of the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00095"> <pat:ClaimNumber>95< / pat:ClaimNumber> <pat:ClaimText>95. The device of any one of the claims 59 to 94, wherein determining whether the collection of current location distance features matches with the collection of candidate location distance features is to compare whether the current location distance features in the collection of current location distance features are the same as the location distance features in the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00096"> <pat:ClaimNumber>96< / pat:ClaimNumber> <pat:ClaimText>96. The device of any one of the claims 59 to 95, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection object of the text content to be detected and the candidate location distance features of the candidate text content is based on to determine the corresponding detection mode of the text content to be detected, and hence to perform detection on the text content to be detected according to the detection mode, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00097"> <pat:ClaimNumber>97< / pat:ClaimNumber> <pat:ClaimText>97. The device of any one of the claims 59 to 96, wherein the first location includes the location of the current detection object in the text content to be detected, and then the various detection objects in the text content to be detected are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00098"> <pat:ClaimNumber>98< / pat:ClaimNumber> <pat:ClaimText>98. The device of any one of the claims 59 to 97, wherein the specified sequence is determined and obtained according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00099"> <pat:ClaimNumber>99< / pat:ClaimNumber> <pat:ClaimText>99. The device of any one of the claims 59 to 98, wherein the specified sequence is to take an initial detection object of the text content to be detected as a starting point to backwardly traverse the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00100"> <pat:ClaimNumber>100< / pat:ClaimNumber> <pat:ClaimText>100. The device of any one of the claims 59 to 99, wherein when traversing the various detection objects of the text content to be detected, the previous current detection object in the text content to be detected is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00101"> <pat:ClaimNumber>101< / pat:ClaimNumber> <pat:ClaimText>101. The device of any one of the claims 59 to 100, wherein the previous current detection object is located before the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00102"> <pat:ClaimNumber>102< / pat:ClaimNumber> <pat:ClaimText>102. The device of any one of the claims 59 to 101, wherein the first location and the second location is based on to calculate to obtain a current location distance feature of the current detection object in the text content to be detected, and to determine the absolute value of the location difference between the first location and the second location as the current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00103"> <pat:ClaimNumber>103< / pat:ClaimNumber> <pat:ClaimText>103. The device of any one of the claims 59 to 102, wherein when the current location distance features to which the current detection objects correspond have been obtained, the next current detection object is obtained, the next current detection object is relative to the current detection object, and the next current detection object is identical with the current detection object, but the next current detection object is located after the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00104"> <pat:ClaimNumber>104< / pat:ClaimNumber> <pat:ClaimText>104. The device of any one of the claims 59 to 103, wherein the third location of the current detection object is obtained in the candidate text content, and the third location means the location of the current detection object in the candidate text content, and then the various detection objects in the candidate text content are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00105"> <pat:ClaimNumber>105< / pat:ClaimNumber> <pat:ClaimText>105. The device of any one of the claims 59 to 104, wherein the specified sequence is to take an initial detection object of the candidate text content as a starting point to backwardly traverse the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00106"> <pat:ClaimNumber>106< / pat:ClaimNumber> <pat:ClaimText>106. The device of any one of the claims 59 to 105, wherein by traversing the various detection objects of the candidate text content, the previous current detection object in the candidate text content is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00107"> <pat:ClaimNumber>107< / pat:ClaimNumber> <pat:ClaimText>107. The device of any one of the claims 59 to 106, wherein the previous current detection object is relative to the current detection object, and the previous current detection object is identical with the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00108"> <pat:ClaimNumber>108< / pat:ClaimNumber> <pat:ClaimText>108. The device of any one of the claims 59 to 107, wherein the previous current detection object is located before the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00109"> <pat:ClaimNumber>109< / pat:ClaimNumber> <pat:ClaimText>109. The device of any one of the claims 59 to 108, wherein the fourth location of the previous current detection object is obtained in the candidate text content, and the fourth location is used to describe the location of the previous current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00110"> <pat:ClaimNumber>110< / pat:ClaimNumber> <pat:ClaimText>110. The device of any one of the claims 59 to 109, wherein the third location and the fourth location is based on to calculate to obtain a current location distance feature of the current detection object in the candidate text content, and to determine the absolute value of the location difference between the third location and the fourth location as the current location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00111"> <pat:ClaimNumber>111< / pat:ClaimNumber> <pat:ClaimText>111. The device of any one of the claims 59 to 110, wherein the next current detection object is located after the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00112"> <pat:ClaimNumber>112< / pat:ClaimNumber> <pat:ClaimText>112. The device of any one of the claims 59 to 111, wherein when the locations of the current location distance features in the collection of current location distance features are the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features matches with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00113"> <pat:ClaimNumber>113< / pat:ClaimNumber> <pat:ClaimText>113. The device of any one of the claims 59 to 112, wherein when the current location distance features in the collection of current location distance features are not the same as the location distance features in the collection of candidate location distance features, or the locations of the current location distance features in the collection of current location distance features are not the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00114"> <pat:ClaimNumber>114< / pat:ClaimNumber> <pat:ClaimText>114. The device of any one of the claims 59 to 113, wherein detecting whether there is a same detection object in the candidate text content as the current detection object is to traverse the various detection objections one by one in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00115"> <pat:ClaimNumber>115< / pat:ClaimNumber> <pat:ClaimText>115. The device of any one of the claims 59 to 114, wherein when the same detection object as the current detection object is traversed, determining that there is the same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00116"> <pat:ClaimNumber>116< / pat:ClaimNumber> <pat:ClaimText>116. The device of any one of the claims 59 to 115, wherein when the same detection object as the current detection object is not traversed, it is determined that there is no same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00118"> <pat:ClaimNumber>118< / pat:ClaimNumber> <pat:ClaimText>118. The system of claim 117, wherein the text content processing module further configured to: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00119"> <pat:ClaimNumber>119< / pat:ClaimNumber> <pat:ClaimText>119. The system of any one of the claims 117 to 118, wherein the text content processing module further configured to: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the text content to be detected according to a specified sequence, until current location distance features to which various current detection objects correspond are obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00120"> <pat:ClaimNumber>120< / pat:ClaimNumber> <pat:ClaimText>120. The system of any one of the claims 117 to 119, wherein the text content processing module further configured to: basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00121"> <pat:ClaimNumber>121< / pat:ClaimNumber> <pat:ClaimText>121. The system of claim 117, wherein the candidate text content processing module further configured to: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00122"> <pat:ClaimNumber>122< / pat:ClaimNumber> <pat:ClaimText>122. The system of any one of the claims 117 and 121, wherein the candidate text content processing module further configured to: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00123"> <pat:ClaimNumber>123< / pat:ClaimNumber> <pat:ClaimText>123. The system of claim 117, wherein the detection mode determining module further configured to: determining the detection mode of the text content to be detected as detecting on a one-by- one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00124"> <pat:ClaimNumber>124< / pat:ClaimNumber> <pat:ClaimText>124. The system of claim 117, wherein the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and the character string to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00125"> <pat:ClaimNumber>125< / pat:ClaimNumber> <pat:ClaimText>125. The system of claim 117, wherein the system further comprises: detecting whether there is a same detection object in the candidate text content as the current detection object; the detection object determining module configured to determine a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and the candidate text content processing module configured to enter basing on the current detection object to perform feature processing on the candidate text content when there is a same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00126"> <pat:ClaimNumber>126< / pat:ClaimNumber> <pat:ClaimText>126. The system of any one of the claims 117 to 124, wherein a terminal obtains text content to be detected, and sends the text content to be detected to server. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00127"> <pat:ClaimNumber>127< / pat:ClaimNumber> <pat:ClaimText>127. The system of any one of the claims 117 to 126, wherein the text content to be detected is text content that is currently being detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00128"> <pat:ClaimNumber>128< / pat:ClaimNumber> <pat:ClaimText>128. The system of any one of the claims 117 to 127, wherein the text content is a sentence or a combination of sentences having complete and systematic meanings, and the text content is a sentence, a paragraph, a chapter or a character string. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00129"> <pat:ClaimNumber>129< / pat:ClaimNumber> <pat:ClaimText>129. The system of any one of the claims 117 to 128, wherein the text content is English text content, Chinese text content, a character string or a combination thereof. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00130"> <pat:ClaimNumber>130< / pat:ClaimNumber> <pat:ClaimText>130. The system of any one of the claims 117 to 129, wherein obtainment of the text content is done by crawling from a great quantity of webpages through currently available crawling technology, or according to business requirements, product requirements or other application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00131"> <pat:ClaimNumber>131< / pat:ClaimNumber> <pat:ClaimText>131. The system of any one of the claims 117 to 130, wherein the Chinese text content to be detected indicates text content formed by Chinese words, and English text content to be detected indicates text content formed by capitalized and lowercased letters. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00132"> <pat:ClaimNumber>132< / pat:ClaimNumber> <pat:ClaimText>132. The system of any one of the claims 117 to 131, wherein the character string to be detected is a string of characters including letters, digits, operational symbols, punctuations and other signs, and functional signs. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00133"> <pat:ClaimNumber>133< / pat:ClaimNumber> <pat:ClaimText>133. The system of any one of the claims 117 to 132, wherein the character string is English text content, and can also be text content consisting of English and digits, and the text content is including an essay, a piece of news, and a piece of commentary. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00134"> <pat:ClaimNumber>134< / pat:ClaimNumber> <pat:ClaimText>134. The system of any one of the claims 117 to 133, wherein the current detection object is a detection object currently being detected in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00135"> <pat:ClaimNumber>135< / pat:ClaimNumber> <pat:ClaimText>135. The system of any one of the claims 117 to 134, wherein the current detection object is determined and obtained from the text content to be detected according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00136"> <pat:ClaimNumber>136< / pat:ClaimNumber> <pat:ClaimText>136. The system of any one of the claims 117 to 135, wherein when the text content to be detected is Chinese text content to be detected, the current detection object is a target Chinese word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00137"> <pat:ClaimNumber>137< / pat:ClaimNumber> <pat:ClaimText>137. The system of any one of the claims 117 to 136, wherein when the text content to be detected is English text content to be detected, the current detection object is a target English word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00138"> <pat:ClaimNumber>138< / pat:ClaimNumber> <pat:ClaimText>138. The system of any one of the claims 117 to 137, wherein when the text content to be detected is the character string to be detected, the current detection object is a target English letter or a target digit. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00139"> <pat:ClaimNumber>139< / pat:ClaimNumber> <pat:ClaimText>139. The system of any one of the claims 117 to 138, wherein the text content to be detected is obtained by forming detection objects, and the detection objects is Chinese words, English words, English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00140"> <pat:ClaimNumber>140< / pat:ClaimNumber> <pat:ClaimText>140. The system of any one of the claims 117 to 139, wherein the text content to be detected is Chinese text content to be detected, then the detection objects is various Chinese words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00141"> <pat:ClaimNumber>141< / pat:ClaimNumber> <pat:ClaimText>141. The system of any one of the claims 117 to 140, wherein when the text content to be detected is English text content to be detected, the detection objects is various English words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00142"> <pat:ClaimNumber>142< / pat:ClaimNumber> <pat:ClaimText>142. The system of any one of the claims 117 to 141, wherein when the text content to be detected is the character string to be detected, the detection objects is various English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00143"> <pat:ClaimNumber>143< / pat:ClaimNumber> <pat:ClaimText>143. The system of any one of the claims 117 to 142, wherein the detection objects are constituent elements of the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00144"> <pat:ClaimNumber>144< / pat:ClaimNumber> <pat:ClaimText>144. The system of any one of the claims 117 to 143, wherein the mode of determining the current detection object is self-defined, such self-definition is to randomly determine a certain detection object from the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00145"> <pat:ClaimNumber>145< / pat:ClaimNumber> <pat:ClaimText>145. The system of any one of the claims 117 to 144, wherein determining the current detection object from the text content to be detected is according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00146"> <pat:ClaimNumber>146< / pat:ClaimNumber> <pat:ClaimText>146. The system of any one of the claims 117 to 145, wherein self-definition includes sequentially determining each detection object in the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00147"> <pat:ClaimNumber>147< / pat:ClaimNumber> <pat:ClaimText>147. The system of any one of the claims 117 to 146, wherein the current location distance features to which the current detection object corresponds are location distance features between all current detection objects in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00148"> <pat:ClaimNumber>148< / pat:ClaimNumber> <pat:ClaimText>148. The system of any one of the claims 117 to 147, wherein basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected is to arrange the various current location distance features according to a sequential order of the various current detection objects in the text content to be detected, and to generate the collection of current location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00149"> <pat:ClaimNumber>149< / pat:ClaimNumber> <pat:ClaimText>149. The system of any one of the claims 117 to 148, wherein the candidate text content is standard text content used to detect the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00150"> <pat:ClaimNumber>150< / pat:ClaimNumber> <pat:ClaimText>150. The system of any one of the claims 117 to 149, wherein the candidate text content is determined and obtained according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00151"> <pat:ClaimNumber>151< / pat:ClaimNumber> <pat:ClaimText>151. The system of any one of the claims 117 to 150, wherein the candidate text content is further obtained from the quantity of webpages by currently available crawling technology. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00152"> <pat:ClaimNumber>152< / pat:ClaimNumber> <pat:ClaimText>152. The system of any one of the claims 117 to 151, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection objects of the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00153"> <pat:ClaimNumber>153< / pat:ClaimNumber> <pat:ClaimText>153. The system of any one of the claims 117 to 152, wherein determining whether the collection of current location distance features matches with the collection of candidate location distance features is to compare whether the current location distance features in the collection of current location distance features are the same as the location distance features in the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00154"> <pat:ClaimNumber>154< / pat:ClaimNumber> <pat:ClaimText>154. The system of any one of the claims 117 to 153, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection object of the text content to be detected and the candidate location distance features of the candidate text content is based on to determine the corresponding detection mode of the text content to be detected, and hence to perform detection on the text content to be detected according to the detection mode, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00155"> <pat:ClaimNumber>155< / pat:ClaimNumber> <pat:ClaimText>155. The system of any one of the claims 117 to 154, wherein the first location includes the location of the current detection object in the text content to be detected, and then the various detection objects in the text content to be detected are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00156"> <pat:ClaimNumber>156< / pat:ClaimNumber> <pat:ClaimText>156. The system of any one of the claims 117 to 155, wherein the specified sequence is determined and obtained according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00157"> <pat:ClaimNumber>157< / pat:ClaimNumber> <pat:ClaimText>157. The system of any one of the claims 117 to 156, wherein the specified sequence is to take an initial detection object of the text content to be detected as a starting point to backwardly traverse the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00158"> <pat:ClaimNumber>158< / pat:ClaimNumber> <pat:ClaimText>158. The system of any one of the claims 117 to 157, wherein when traversing the various detection objects of the text content to be detected, the previous current detection object in the text content to be detected is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00159"> <pat:ClaimNumber>159< / pat:ClaimNumber> <pat:ClaimText>159. The system of any one of the claims 117 to 158, wherein the previous current detection object is located before the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00160"> <pat:ClaimNumber>160< / pat:ClaimNumber> <pat:ClaimText>160. The system of any one of the claims 117 to 159, wherein the first location and the second location is based on to calculate to obtain a current location distance feature of the current detection object in the text content to be detected, and to determine the absolute value of the location difference between the first location and the second location as the current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00161"> <pat:ClaimNumber>161< / pat:ClaimNumber> <pat:ClaimText>161. The system of any one of the claims 117 to 160, wherein when the current location distance features to which the current detection objects correspond have been obtained, the next current detection object is obtained, the next current detection object is relative to the current detection object, and the next current detection object is identical with the current detection object, but the next current detection object is located after the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00162"> <pat:ClaimNumber>162< / pat:ClaimNumber> <pat:ClaimText>162. The system of any one of the claims 117 to 161, wherein the third location of the current detection object is obtained in the candidate text content, and the third location means the location of the current detection object in the candidate text content, and then the various detection objects in the candidate text content are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00163"> <pat:ClaimNumber>163< / pat:ClaimNumber> <pat:ClaimText>163. The system of any one of the claims 117 to 162, wherein the specified sequence is to take an initial detection object of the candidate text content as a starting point to backwardly traverse the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00164"> <pat:ClaimNumber>164< / pat:ClaimNumber> <pat:ClaimText>164. The system of any one of the claims 117 to 163, wherein by traversing the various detection objects of the candidate text content, the previous current detection object in the candidate text content is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00165"> <pat:ClaimNumber>165< / pat:ClaimNumber> <pat:ClaimText>165. The system of any one of the claims 117 to 164, wherein the previous current detection object is relative to the current detection object, and the previous current detection object is identical with the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00166"> <pat:ClaimNumber>166< / pat:ClaimNumber> <pat:ClaimText>166. The system of any one of the claims 117 to 165, wherein the previous current detection object is located before the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00167"> <pat:ClaimNumber>167< / pat:ClaimNumber> <pat:ClaimText>167. The system of any one of the claims 117 to 166, wherein the fourth location of the previous current detection object is obtained in the candidate text content, and the fourth location is used to describe the location of the previous current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00168"> <pat:ClaimNumber>168< / pat:ClaimNumber> <pat:ClaimText>168. The system of any one of the claims 117 to 167, wherein the third location and the fourth location is based on to calculate to obtain a current location distance feature of the current detection object in the candidate text content, and to determine the absolute value of the location difference between the third location and the fourth location as the current location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00169"> <pat:ClaimNumber>169< / pat:ClaimNumber> <pat:ClaimText>169. The system of any one of the claims 117 to 168, wherein the next current detection object is located after the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00170"> <pat:ClaimNumber>170< / pat:ClaimNumber> <pat:ClaimText>170. The system of any one of the claims 117 to 169, wherein when the locations of the current location distance features in the collection of current location distance features are the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features matches with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00171"> <pat:ClaimNumber>171< / pat:ClaimNumber> <pat:ClaimText>171. The system of any one of the claims 117 to 170, wherein when the current location distance features in the collection of current location distance features are not the same as the location distance features in the collection of candidate location distance features, or the locations of the current location distance features in the collection of current location distance features are not the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00172"> <pat:ClaimNumber>172< / pat:ClaimNumber> <pat:ClaimText>172. The system of any one of the claims 117 to 171, wherein detecting whether there is a same detection object in the candidate text content as the current detection object is to traverse the various detection objections one by one in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00173"> <pat:ClaimNumber>173< / pat:ClaimNumber> <pat:ClaimText>173. The system of any one of the claims 117 to 172, wherein when the same detection object as the current detection object is traversed, determining that there is the same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00174"> <pat:ClaimNumber>174< / pat:ClaimNumber> <pat:ClaimText>174. The system of any one of the claims 117 to 173, wherein when the same detection object as the current detection object is not traversed, it is determined that there is no same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00176"> <pat:ClaimNumber>176< / pat:ClaimNumber> <pat:ClaimText>176. The storage medium of claim 175, wherein the storage medium further comprises: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00177"> <pat:ClaimNumber>177< / pat:ClaimNumber> <pat:ClaimText>177. The storage medium of any one of the claims 175 to 176, wherein the storage medium further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the text content to be detected according to a specified sequence, until current location distance features to which various current detection objects correspond are obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00178"> <pat:ClaimNumber>178< / pat:ClaimNumber> <pat:ClaimText>178. The storage medium of any one of the claims 175 to 177, wherein the storage medium further comprises: basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00179"> <pat:ClaimNumber>179< / pat:ClaimNumber> <pat:ClaimText>179. The storage medium of claim 175, wherein the storage medium further comprises: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00180"> <pat:ClaimNumber>180< / pat:ClaimNumber> <pat:ClaimText>180. The storage medium of any one of the claims 175 and 179, wherein the storage medium further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00181"> <pat:ClaimNumber>181< / pat:ClaimNumber> <pat:ClaimText>181. The storage medium of claim 175, wherein the storage medium further comprises: determining the detection mode of the text content to be detected as detecting on a one-by- one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00182"> <pat:ClaimNumber>182< / pat:ClaimNumber> <pat:ClaimText>182. The storage medium of claim 175, wherein the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and a character string to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00183"> <pat:ClaimNumber>183< / pat:ClaimNumber> <pat:ClaimText>183. The storage medium of claim 175, wherein the storage medium further comprises: detecting whether there is a same detection object in the candidate text content as the current detection object; determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering basing on the current detection object to perform feature processing on the candidate text content when there is a same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00184"> <pat:ClaimNumber>184< / pat:ClaimNumber> <pat:ClaimText>184. The storage medium of any one of the claims 175 to 182, wherein a terminal obtains text content to be detected, and sends the text content to be detected to server. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00185"> <pat:ClaimNumber>185< / pat:ClaimNumber> <pat:ClaimText>185. The storage medium of any one of the claims 175 to 184, wherein the text content to be detected is text content that is currently being detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00186"> <pat:ClaimNumber>186< / pat:ClaimNumber> <pat:ClaimText>186. The storage medium of any one of the claims 175 to 185, wherein the text content is a sentence or a combination of sentences having complete and systematic meanings, and the text content is a sentence, a paragraph, a chapter or a character string. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00187"> <pat:ClaimNumber>187< / pat:ClaimNumber> <pat:ClaimText>187. The storage medium of any one of the claims 175 to 186, wherein the text content is English text content, Chinese text content, a character string or a combination thereof. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00188"> <pat:ClaimNumber>188< / pat:ClaimNumber> <pat:ClaimText>188. The storage medium of any one of the claims 175 to 187, wherein obtainment of the text content is done by crawling from a great quantity of webpages through currently available crawling technology, or according to business requirements, product requirements or other application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00189"> <pat:ClaimNumber>189< / pat:ClaimNumber> <pat:ClaimText>189. The storage medium of any one of the claims 175 to 188, wherein the Chinese text content to be detected indicates text content formed by Chinese words, and English text content to be detected indicates text content formed by capitalized and lowercased letters. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00190"> <pat:ClaimNumber>190< / pat:ClaimNumber> <pat:ClaimText>190. The storage medium of any one of the claims 175 to 189, wherein the character string to be detected is a string of characters including letters, digits, operational symbols, punctuations and other signs, and functional signs. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00191"> <pat:ClaimNumber>191< / pat:ClaimNumber> <pat:ClaimText>191. The storage medium of any one of the claims 175 to 190, wherein the character string is English text content, and can also be text content consisting of English and digits, and the text content is including an essay, a piece of news, and a piece of commentary. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00192"> <pat:ClaimNumber>192< / pat:ClaimNumber> <pat:ClaimText>192. The storage medium of any one of the claims 175 to 191, wherein the current detection object is a detection object currently being detected in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00193"> <pat:ClaimNumber>193< / pat:ClaimNumber> <pat:ClaimText>193. The storage medium of any one of the claims 175 to 192, wherein the current detection object is determined and obtained from the text content to be detected according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00194"> <pat:ClaimNumber>194< / pat:ClaimNumber> <pat:ClaimText>194. The storage medium of any one of the claims 175 to 193, wherein when the text content to be detected is Chinese text content to be detected, the current detection object is a target Chinese word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00195"> <pat:ClaimNumber>195< / pat:ClaimNumber> <pat:ClaimText>195. The storage medium of any one of the claims 175 to 194, wherein when the text content to be detected is English text content to be detected, the current detection object is a target English word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00196"> <pat:ClaimNumber>196< / pat:ClaimNumber> <pat:ClaimText>196. The storage medium of any one of the claims 175 to 195, wherein when the text content to be detected is the character string to be detected, the current detection object is a target English letter or a target digit. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00197"> <pat:ClaimNumber>197< / pat:ClaimNumber> <pat:ClaimText>197. The storage medium of any one of the claims 175 to 196, wherein the text content to be detected is obtained by forming detection objects, and the detection objects is Chinese words, English words, English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00198"> <pat:ClaimNumber>198< / pat:ClaimNumber> <pat:ClaimText>198. The storage medium of any one of the claims 175 to 197, wherein the text content to be detected is Chinese text content to be detected, then the detection objects is various Chinese words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00199"> <pat:ClaimNumber>199< / pat:ClaimNumber> <pat:ClaimText>199. The storage medium of any one of the claims 175 to 198, wherein when the text content to be detected is English text content to be detected, the detection objects is various English words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00200"> <pat:ClaimNumber>200< / pat:ClaimNumber> <pat:ClaimText>200. The storage medium of any one of the claims 175 to 199, wherein when the text content to be detected is the character string to be detected, the detection objects is various English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00201"> <pat:ClaimNumber>201< / pat:ClaimNumber> <pat:ClaimText>201. The storage medium of any one of the claims 175 to 200, wherein the detection objects are constituent elements of the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00202"> <pat:ClaimNumber>202< / pat:ClaimNumber> <pat:ClaimText>202. The storage medium of any one of the claims 175 to 201, wherein the mode of determining the current detection object is self-defined, such self-definition is to randomly determine a certain detection object from the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00203"> <pat:ClaimNumber>203< / pat:ClaimNumber> <pat:ClaimText>203. The storage medium of any one of the claims 175 to 202, wherein determining the current detection object from the text content to be detected is according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00204"> <pat:ClaimNumber>204< / pat:ClaimNumber> <pat:ClaimText>204. The storage medium of any one of the claims 175 to 203, wherein self-definition includes sequentially determining each detection object in the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00205"> <pat:ClaimNumber>205< / pat:ClaimNumber> <pat:ClaimText>205. The storage medium of any one of the claims 175 to 204, wherein the current location distance features to which the current detection object corresponds are location distance features between all current detection objects in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00206"> <pat:ClaimNumber>206< / pat:ClaimNumber> <pat:ClaimText>206. The storage medium of any one of the claims 175 to 205, wherein basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected is to arrange the various current location distance features according to a sequential order of the various current detection objects in the text content to be detected, and to generate the collection of current location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00207"> <pat:ClaimNumber>207< / pat:ClaimNumber> <pat:ClaimText>207. The storage medium of any one of the claims 175 to 206, wherein the candidate text content is standard text content used to detect the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00208"> <pat:ClaimNumber>208< / pat:ClaimNumber> <pat:ClaimText>208. The storage medium of any one of the claims 175 to 207, wherein the candidate text content is determined and obtained according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00209"> <pat:ClaimNumber>209< / pat:ClaimNumber> <pat:ClaimText>209. The storage medium of any one of the claims 175 to 208, wherein the candidate text content is further obtained from the quantity of webpages by currently available crawling technology. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00210"> <pat:ClaimNumber>210< / pat:ClaimNumber> <pat:ClaimText>210. The storage medium of any one of the claims 175 to 209, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection objects of the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00211"> <pat:ClaimNumber>211< / pat:ClaimNumber> <pat:ClaimText>211. The storage medium of any one of the claims 175 to 210, wherein determining whether the collection of current location distance features matches with the collection of candidate location distance features is to compare whether the current location distance features in the collection of current location distance features are the same as the location distance features in the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00212"> <pat:ClaimNumber>212< / pat:ClaimNumber> <pat:ClaimText>212. The storage medium of any one of the claims 175 to 211, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection object of the text content to be detected and the candidate location distance features of the candidate text content is based on to determine the corresponding detection mode of the text content to be detected, and hence to perform detection on the text content to be detected according to the detection mode, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00213"> <pat:ClaimNumber>213< / pat:ClaimNumber> <pat:ClaimText>213. The storage medium of any one of the claims 175 to 212, wherein the first location includes the location of the current detection object in the text content to be detected, and then the various detection objects in the text content to be detected are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00214"> <pat:ClaimNumber>214< / pat:ClaimNumber> <pat:ClaimText>214. The storage medium of any one of the claims 175 to 213, wherein the specified sequence is determined and obtained according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00215"> <pat:ClaimNumber>215< / pat:ClaimNumber> <pat:ClaimText>215. The storage medium of any one of the claims 175 to 214, wherein the specified sequence is to take an initial detection object of the text content to be detected as a starting point to backwardly traverse the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00216"> <pat:ClaimNumber>216< / pat:ClaimNumber> <pat:ClaimText>216. The storage medium of any one of the claims 175 to 215, wherein when traversing the various detection objects of the text content to be detected, the previous current detection object in the text content to be detected is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00217"> <pat:ClaimNumber>217< / pat:ClaimNumber> <pat:ClaimText>217. The storage medium of any one of the claims 175 to 216, wherein the previous current detection object is located before the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00218"> <pat:ClaimNumber>218< / pat:ClaimNumber> <pat:ClaimText>218. The storage medium of any one of the claims 175 to 217, wherein the first location and the second location is based on to calculate to obtain a current location distance feature of the current detection object in the text content to be detected, and to determine the absolute value of the location difference between the first location and the second location as the current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00219"> <pat:ClaimNumber>219< / pat:ClaimNumber> <pat:ClaimText>219. The storage medium of any one of the claims 175 to 218, wherein when the current location distance features to which the current detection objects correspond have been obtained, the next current detection object is obtained, the next current detection object is relative to the current detection object, and the next current detection object is identical with the current detection object, but the next current detection object is located after the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00220"> <pat:ClaimNumber>220< / pat:ClaimNumber> <pat:ClaimText>220. The storage medium of any one of the claims 175 to 219, wherein the third location of the current detection object is obtained in the candidate text content, and the third location means the location of the current detection object in the candidate text content, and then the various detection objects in the candidate text content are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00221"> <pat:ClaimNumber>221< / pat:ClaimNumber> <pat:ClaimText>221. The storage medium of any one of the claims 175 to 220, wherein the specified sequence is to take an initial detection object of the candidate text content as a starting point to backwardly traverse the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00222"> <pat:ClaimNumber>222< / pat:ClaimNumber> <pat:ClaimText>222. The storage medium of any one of the claims 175 to 221, wherein by traversing the various detection objects of the candidate text content, the previous current detection object in the candidate text content is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00223"> <pat:ClaimNumber>223< / pat:ClaimNumber> <pat:ClaimText>223. The storage medium of any one of the claims 175 to 222, wherein the previous current detection object is relative to the current detection object, and the previous current detection object is identical with the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00224"> <pat:ClaimNumber>224< / pat:ClaimNumber> <pat:ClaimText>224. The storage medium of any one of the claims 175 to 223, wherein the previous current detection object is located before the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00225"> <pat:ClaimNumber>225< / pat:ClaimNumber> <pat:ClaimText>225. The storage medium of any one of the claims 175 to 224, wherein the fourth location of the previous current detection object is obtained in the candidate text content, and the fourth location is used to describe the location of the previous current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00226"> <pat:ClaimNumber>226< / pat:ClaimNumber> <pat:ClaimText>226. The storage medium of any one of the claims 175 to 225, wherein the third location and the fourth location is based on to calculate to obtain a current location distance feature of the current detection object in the candidate text content, and to determine the absolute value of the location difference between the third location and the fourth location as the current location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00227"> <pat:ClaimNumber>227< / pat:ClaimNumber> <pat:ClaimText>227. The storage medium of any one of the claims 175 to 226, wherein the next current detection object is located after the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00228"> <pat:ClaimNumber>228< / pat:ClaimNumber> <pat:ClaimText>228. The storage medium of any one of the claims 175 to 227, wherein when the locations of the current location distance features in the collection of current location distance features are the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features matches with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00229"> <pat:ClaimNumber>229< / pat:ClaimNumber> <pat:ClaimText>229. The storage medium of any one of the claims 175 to 228, wherein when the current location distance features in the collection of current location distance features are not the same as the location distance features in the collection of candidate location distance features, or the locations of the current location distance features in the collection of current location distance features are not the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00230"> <pat:ClaimNumber>230< / pat:ClaimNumber> <pat:ClaimText>230. The storage medium of any one of the claims 175 to 229, wherein detecting whether there is a same detection object in the candidate text content as the current detection object is to traverse the various detection objections one by one in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00231"> <pat:ClaimNumber>231< / pat:ClaimNumber> <pat:ClaimText>231. The storage medium of any one of the claims 175 to 230, wherein when the same detection object as the current detection object is traversed, determining that there is the same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00232"> <pat:ClaimNumber>232< / pat:ClaimNumber> <pat:ClaimText>232. The storage medium of any one of the claims 175 to 231, wherein when the same detection object as the current detection object is not traversed, it is determined that there is no same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00234"> <pat:ClaimNumber>234< / pat:ClaimNumber> <pat:ClaimText>234. The method of claim 233, wherein the method further comprises: obtaining a first location of the current detection object in the text content to be detected; traversing the text content to be detected according to a specified sequence, and obtaining a previous current detection object in the text content to be detected; obtaining a second location of the previous current detection object in the text content to be detected; basing on the first location and the second location to calculate to obtain a current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00235"> <pat:ClaimNumber>235< / pat:ClaimNumber> <pat:ClaimText>235. The method of any one of the claims 233 to 234, wherein the method further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the text content to be detected according to a specified sequence, until current location distance features to which various current detection objects correspond are obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00236"> <pat:ClaimNumber>236< / pat:ClaimNumber> <pat:ClaimText>236. The method of any one of the claims 233 to 235, wherein the method further comprises: basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00237"> <pat:ClaimNumber>237< / pat:ClaimNumber> <pat:ClaimText>237. The method of claim 233, wherein the method further comprises: obtaining a third location of the current detection object in the candidate text content; traversing the candidate text content according to a specified sequence, and obtaining a previous current detection object in the candidate text content; obtaining a fourth location of the previous current detection object in the candidate text content; basing on the third location and the fourth location to calculate to obtain a current candidate location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00238"> <pat:ClaimNumber>238< / pat:ClaimNumber> <pat:ClaimText>238. The method of any one of the claims 233 and 237, wherein the method further comprises: obtaining a next current detection object; determining the next current detection object as the current detection object; and traversing the candidate text content according to a specified sequence, until current candidate location distance features to which the various current detection objects correspond are obtained; and basing on the current candidate location distance features to which the various current detection objects correspond to generate the collection of candidate location distance features corresponding to the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00239"> <pat:ClaimNumber>239< / pat:ClaimNumber> <pat:ClaimText>239. The method of claim 233, wherein the method further comprises: determining the detection mode of the text content to be detected as detecting on a one-by- one basis the various detection objects in the text content to be detected when the collection of current location distance features matches with the collection of candidate location distance features; and determining the detection mode of the text content to be detected as not detecting the text content to be detected when the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00240"> <pat:ClaimNumber>240< / pat:ClaimNumber> <pat:ClaimText>240. The method of claim 233, wherein the text content to be detected is at least one of Chinese text content to be detected, English text content to be detected, and a character string to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00241"> <pat:ClaimNumber>241< / pat:ClaimNumber> <pat:ClaimText>241. The method of claim 233, wherein the method further comprises: detecting whether there is a same detection object in the candidate text content as the current detection object; determining a current detection object from the text content to be detected to determine anew the current detection object when there is no same detection object in the candidate text content as the current detection object, until the same detection object as the current detection object is detected in the candidate text content; and entering basing on the current detection object to perform feature processing on the candidate text content when there is a same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00242"> <pat:ClaimNumber>242< / pat:ClaimNumber> <pat:ClaimText>242. The method of any one of the claims 233 to 240, wherein a terminal obtains text content to be detected, and sends the text content to be detected to server. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00243"> <pat:ClaimNumber>243< / pat:ClaimNumber> <pat:ClaimText>243. The method of any one of the claims 233 to 242, wherein the text content to be detected is text content that is currently being detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00244"> <pat:ClaimNumber>244< / pat:ClaimNumber> <pat:ClaimText>244. The method of any one of the claims 233 to 243, wherein the text content is a sentence or a combination of sentences having complete and systematic meanings, and the text content is a sentence, a paragraph, a chapter or a character string. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00245"> <pat:ClaimNumber>245< / pat:ClaimNumber> <pat:ClaimText>245. The method of any one of the claims 233 to 244, wherein the text content is English text content, Chinese text content, a character string or a combination thereof. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00246"> <pat:ClaimNumber>246< / pat:ClaimNumber> <pat:ClaimText>246. The method of any one of the claims 233 to 245, wherein obtainment of the text content is done by crawling from a great quantity of webpages through currently available crawling technology, or according to business requirements, product requirements or other application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00247"> <pat:ClaimNumber>247< / pat:ClaimNumber> <pat:ClaimText>247. The method of any one of the claims 233 to 246, wherein the Chinese text content to be detected indicates text content formed by Chinese words, and English text content to be detected indicates text content formed by capitalized and lowercased letters. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00248"> <pat:ClaimNumber>248< / pat:ClaimNumber> <pat:ClaimText>248. The method of any one of the claims 233 to 247, wherein the character string to be detected is a string of characters including letters, digits, operational symbols, punctuations and other signs, and functional signs. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00249"> <pat:ClaimNumber>249< / pat:ClaimNumber> <pat:ClaimText>249. The method of any one of the claims 233 to 248, wherein the character string is English text content, and can also be text content consisting of English and digits, and the text content is including an essay, a piece of news, and a piece of commentary. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00250"> <pat:ClaimNumber>250< / pat:ClaimNumber> <pat:ClaimText>250. The method of any one of the claims 233 to 249, wherein the current detection object is a detection object currently being detected in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00251"> <pat:ClaimNumber>251< / pat:ClaimNumber> <pat:ClaimText>251. The method of any one of the claims 233 to 250, wherein the current detection object is determined and obtained from the text content to be detected according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00252"> <pat:ClaimNumber>252< / pat:ClaimNumber> <pat:ClaimText>252. The method of any one of the claims 233 to 251, wherein when the text content to be detected is Chinese text content to be detected, the current detection object is a target Chinese word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00253"> <pat:ClaimNumber>253< / pat:ClaimNumber> <pat:ClaimText>253. The method of any one of the claims 233 to 252, wherein when the text content to be detected is English text content to be detected, the current detection object is a target English word. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00254"> <pat:ClaimNumber>254< / pat:ClaimNumber> <pat:ClaimText>254. The method of any one of the claims 233 to 253, wherein when the text content to be detected is the character string to be detected, the current detection object is a target English letter or a target digit. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00255"> <pat:ClaimNumber>255< / pat:ClaimNumber> <pat:ClaimText>255. The method of any one of the claims 233 to 254, wherein the text content to be detected is obtained by forming detection objects, and the detection objects is Chinese words, English words, English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00256"> <pat:ClaimNumber>256< / pat:ClaimNumber> <pat:ClaimText>256. The method of any one of the claims 233 to 255, wherein the text content to be detected is Chinese text content to be detected, then the detection objects is various Chinese words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00257"> <pat:ClaimNumber>257< / pat:ClaimNumber> <pat:ClaimText>257. The method of any one of the claims 233 to 256, wherein when the text content to be detected is English text content to be detected, the detection objects is various English words. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00258"> <pat:ClaimNumber>258< / pat:ClaimNumber> <pat:ClaimText>258. The method of any one of the claims 233 to 257, wherein when the text content to be detected is the character string to be detected, the detection objects is various English letters or digits. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00259"> <pat:ClaimNumber>259< / pat:ClaimNumber> <pat:ClaimText>259. The method of any one of the claims 233 to 258, wherein the detection objects are constituent elements of the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00260"> <pat:ClaimNumber>260< / pat:ClaimNumber> <pat:ClaimText>260. The method of any one of the claims 233 to 259, wherein the mode of determining the current detection object is self-defined, such self-definition is to randomly determine a certain detection object from the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00261"> <pat:ClaimNumber>261< / pat:ClaimNumber> <pat:ClaimText>261. The method of any one of the claims 233 to 260, wherein determining the current detection object from the text content to be detected is according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00262"> <pat:ClaimNumber>262< / pat:ClaimNumber> <pat:ClaimText>262. The method of any one of the claims 233 to 261, wherein self-definition includes sequentially determining each detection object in the text content to be detected as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00263"> <pat:ClaimNumber>263< / pat:ClaimNumber> <pat:ClaimText>263. The method of any one of the claims 233 to 262, wherein the current location distance features to which the current detection object corresponds are location distance features between all current detection objects in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00264"> <pat:ClaimNumber>264< / pat:ClaimNumber> <pat:ClaimText>264. The method of any one of the claims 233 to 263, wherein basing on the current location distance features to which the various current detection objects correspond to generate the collection of current location distance features corresponding to the text content to be detected is to arrange the various current location distance features according to a sequential order of the various current detection objects in the text content to be detected, and to generate the collection of current location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00265"> <pat:ClaimNumber>265< / pat:ClaimNumber> <pat:ClaimText>265. The method of any one of the claims 233 to 264, wherein the candidate text content is standard text content used to detect the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00266"> <pat:ClaimNumber>266< / pat:ClaimNumber> <pat:ClaimText>266. The method of any one of the claims 233 to 265, wherein the candidate text content is determined and obtained according to business requirements, practical application scenarios or product requirements. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00267"> <pat:ClaimNumber>267< / pat:ClaimNumber> <pat:ClaimText>267. The method of any one of the claims 233 to 266, wherein the candidate text content is further obtained from the quantity of webpages by currently available crawling technology. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00268"> <pat:ClaimNumber>268< / pat:ClaimNumber> <pat:ClaimText>268. The method of any one of the claims 233 to 267, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection objects of the text content to be detected are based on to determine the corresponding detection mode of the text content to be detected, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00269"> <pat:ClaimNumber>269< / pat:ClaimNumber> <pat:ClaimText>269. The method of any one of the claims 233 to 268, wherein determining whether the collection of current location distance features matches with the collection of candidate location distance features is to compare whether the current location distance features in the collection of current location distance features are the same as the location distance features in the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00270"> <pat:ClaimNumber>270< / pat:ClaimNumber> <pat:ClaimText>270. The method of any one of the claims 233 to 269, wherein before the detection objects are detected one by one at the text content to be detected, the location distance features of the current detection object of the text content to be detected and the candidate location distance features of the candidate text content is based on to determine the corresponding detection mode of the text content to be detected, and hence to perform detection on the text content to be detected according to the detection mode, to reduce invalid detection of text content, to thereby enhance text content detection efficiency. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00271"> <pat:ClaimNumber>271< / pat:ClaimNumber> <pat:ClaimText>271. The method of any one of the claims 233 to 270, wherein the first location includes the location of the current detection object in the text content to be detected, and then the various detection objects in the text content to be detected are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00272"> <pat:ClaimNumber>272< / pat:ClaimNumber> <pat:ClaimText>272. The method of any one of the claims 233 to 271, wherein the specified sequence is determined and obtained according to business requirements, product requirements or practical application scenarios. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00273"> <pat:ClaimNumber>273< / pat:ClaimNumber> <pat:ClaimText>273. The method of any one of the claims 233 to 272, wherein the specified sequence is to take an initial detection object of the text content to be detected as a starting point to backwardly traverse the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00274"> <pat:ClaimNumber>274< / pat:ClaimNumber> <pat:ClaimText>274. The method of any one of the claims 233 to 273, wherein when traversing the various detection objects of the text content to be detected, the previous current detection object in the text content to be detected is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00275"> <pat:ClaimNumber>275< / pat:ClaimNumber> <pat:ClaimText>275. The method of any one of the claims 233 to 274, wherein the previous current detection object is located before the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00276"> <pat:ClaimNumber>276< / pat:ClaimNumber> <pat:ClaimText>276. The method of any one of the claims 233 to 275, wherein the first location and the second location is based on to calculate to obtain a current location distance feature of the current detection object in the text content to be detected, and to determine the absolute value of the location difference between the first location and the second location as the current location distance feature of the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00277"> <pat:ClaimNumber>277< / pat:ClaimNumber> <pat:ClaimText>277. The method of any one of the claims 233 to 276, wherein when the current location distance features to which the current detection objects correspond have been obtained, the next current detection object is obtained, the next current detection object is relative to the current detection object, and the next current detection object is identical with the current detection object, but the next current detection object is located after the current detection object in the text content to be detected. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00278"> <pat:ClaimNumber>278< / pat:ClaimNumber> <pat:ClaimText>278. The method of any one of the claims 233 to 277, wherein the third location of the current detection object is obtained in the candidate text content, and the third location means the location of the current detection object in the candidate text content, and then the various detection objects in the candidate text content are traversed according to a specified sequence. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00279"> <pat:ClaimNumber>279< / pat:ClaimNumber> <pat:ClaimText>279. The method of any one of the claims 233 to 278, wherein the specified sequence is to take an initial detection object of the candidate text content as a starting point to backwardly traverse the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00280"> <pat:ClaimNumber>280< / pat:ClaimNumber> <pat:ClaimText>280. The method of any one of the claims 233 to 279, wherein by traversing the various detection objects of the candidate text content, the previous current detection object in the candidate text content is obtained. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00281"> <pat:ClaimNumber>281< / pat:ClaimNumber> <pat:ClaimText>281. The method of any one of the claims 233 to 280, wherein the previous current detection object is relative to the current detection object, and the previous current detection object is identical with the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00282"> <pat:ClaimNumber>282< / pat:ClaimNumber> <pat:ClaimText>282. The method of any one of the claims 233 to 281, wherein the previous current detection object is located before the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00283"> <pat:ClaimNumber>283< / pat:ClaimNumber> <pat:ClaimText>283. The method of any one of the claims 233 to 282, wherein the fourth location of the previous current detection object is obtained in the candidate text content, and the fourth location is used to describe the location of the previous current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00284"> <pat:ClaimNumber>284< / pat:ClaimNumber> <pat:ClaimText>284. The method of any one of the claims 233 to 283, wherein the third location and the fourth location is based on to calculate to obtain a current location distance feature of the current detection object in the candidate text content, and to determine the absolute value of the location difference between the third location and the fourth location as the current location distance feature of the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00285"> <pat:ClaimNumber>285< / pat:ClaimNumber> <pat:ClaimText>285. The method of any one of the claims 233 to 284, wherein the next current detection object is located after the current detection object in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00286"> <pat:ClaimNumber>286< / pat:ClaimNumber> <pat:ClaimText>286. The method of any one of the claims 233 to 285, wherein when the locations of the current location distance features in the collection of current location distance features are the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features matches with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00287"> <pat:ClaimNumber>287< / pat:ClaimNumber> <pat:ClaimText>287. The method of any one of the claims 233 to 286, wherein when the current location distance features in the collection of current location distance features are not the same as the location distance features in the collection of candidate location distance features, or the locations of the current location distance features in the collection of current location distance features are not the same as the locations in the collection of candidate location distance features, determining that the collection of current location distance features does not match with the collection of candidate location distance features. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00288"> <pat:ClaimNumber>288< / pat:ClaimNumber> <pat:ClaimText>288. The method of any one of the claims 233 to 287, wherein detecting whether there is a same detection object in the candidate text content as the current detection object is to traverse the various detection objections one by one in the candidate text content. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00289"> <pat:ClaimNumber>289< / pat:ClaimNumber> <pat:ClaimText>289. The method of any one of the claims 233 to 288, wherein when the same detection object as the current detection object is traversed, determining that there is the same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> <pat:Claim com:id="CLM-00290"> <pat:ClaimNumber>290< / pat:ClaimNumber> <pat:ClaimText>290. The method of any one of the claims 233 to 289, wherein when the same detection object as the current detection object is not traversed, it is determined that there is no same detection object in the candidate text content as the current detection object. < / pat:ClaimText> < / pat:Claim> < / pat:Claims>