Information processing method and device and related product

Abstract

The embodiment of the invention provides an information processing method and device and a related product. The information processing method comprises the steps that document content and service auxiliary information of a service work order submitted by a user are acquired; the service auxiliary information comprises at least one of video information, audio information and image information related to the service corresponding to the service work order; analyzing and processing the document content of the business work order, and determining whether error expression content exists in the document content or not; under the condition that it is determined that error expression content exists in the document content, according to the error expression content and the service auxiliary information, speculative expression content for the error expression content is determined, and the speculative expression content is sent to the user for content confirmation; and when the user confirms the speculated expression content, adjusting the error expression content to the speculated expression content. Through the embodiment of the invention, the accuracy of the business work order content can be improved, and the quality and efficiency of content auditing can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information processing and analysis, and in particular to an information processing method, device and related product. BACKGROUND

[0002] A business work order is a document or a system record for managing and tracking various business tasks in daily operation of an enterprise, and content review covers aspects such as clarity of each item of content of the work order, data accuracy and validity of attachments. However, there are many problems in content review of the existing business work order. For example, when the filled-in content of the business work order is missing, the missing content cannot be intelligently obtained, and the submitter often needs to resubmit the work order, resulting in low quality and efficiency of review of the business work order, and greatly reducing user experience. Therefore, there is an urgent need for an information processing method that can improve the quality and efficiency of content review of the business work order. SUMMARY

[0003] Embodiments of the present application provide an information processing method, device and related product to solve the problems of low quality and efficiency of review of a business work order in related technologies.

[0004] To solve the above technical problems, embodiments of the present application are implemented as follows: In a first aspect, an embodiment of the present application provides an information processing method, comprising: obtaining document content and business auxiliary information of a business work order submitted by a user; the business auxiliary information comprises at least one of video information, audio information and image information related to a business corresponding to the business work order; analyzing and processing the document content of the business work order to determine whether there is erroneous expression content in the document content; in a case where it is determined that there is erroneous expression content in the document content, determining, according to the erroneous expression content and the business auxiliary information, a presumed expression content for the erroneous expression content, and sending the presumed expression content to the user for content confirmation; in a case where the user confirms the presumed expression content, adjusting the erroneous expression content to the presumed expression content.

[0005] In a second aspect, an embodiment of the present application provides an information processing device, comprising: an obtaining module configured to obtain document content and business auxiliary information of a business work order submitted by a user; the business auxiliary information comprises at least one of video information, audio information and image information related to a business corresponding to the business work order; an analyzing module configured to analyze and process the document content of the business work order to determine whether there is erroneous expression content in the document content; determining module, configured to determine, in a case where it is determined that the error expression content exists in the document content, a presumed expression content for the error expression content according to the error expression content and the business auxiliary information, and send the presumed expression content to the user for content confirmation; adjusting module, configured to adjust the error expression content to the presumed expression content in a case where the user confirms the presumed expression content.

[0006] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor, a communication interface, a memory and a communication bus; wherein the processor, the communication interface and the memory complete mutual communication through the bus; the memory is used to store a computer program; the processor is used to execute the program stored on the memory, and realize the information processing method steps according to the first aspect.

[0007] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the information processing method steps according to the first aspect.

[0008] In a fifth aspect, an embodiment of the present application provides a computer program product, comprising a computer program, and the computer program is executed by a processor to realize the information processing method steps according to the first aspect.

[0009] As can be seen from the technical solutions provided by the above embodiments of the present application, according to the embodiments of the present application, first, the document content and the business auxiliary information of the business work order submitted by the user are acquired; the business auxiliary information comprises at least one of the following: video information, audio information and image information related to the business corresponding to the business work order; then, the document content of the business work order is analyzed and processed to determine whether there is error expression content in the document content; in a case where it is determined that the error expression content exists in the document content, a presumed expression content for the error expression content is determined according to the error expression content and the business auxiliary information, and the presumed expression content is sent to the user for content confirmation; then, in a case where the user confirms the presumed expression content, the error expression content is adjusted to the presumed expression content. As can be seen, according to the embodiments of the present application, the error expression content in the business work order submitted by the user can be identified, and the presumed expression content for the error expression content can be presumed according to the error expression content and the business auxiliary information; in a case where the user confirms the presumed expression content, the error expression content is adjusted to the presumed expression content; in this way, not only the accuracy of the business work order content is improved, the quality of the content review is improved, but also the efficiency of the content review is improved, and the user experience is enhanced. BRIEF DESCRIPTION OF DRAWINGS

[0010] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0011] Figure 1 A flowchart of an information processing method provided by the embodiment of the present application is shown in the figure. Figure 2 A flowchart of a service work order auditing method provided by the embodiment of the present application is shown in the figure. Figure 3 A schematic diagram of the module composition of an information processing device provided by the embodiment of the present application is shown in the figure. Figure 4 A structural schematic diagram of an electronic device provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0012] The embodiment of the present application provides an information processing method, device and related product.

[0013] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0014] Figure 1 A flowchart of an information processing method provided by the embodiment of the present application is shown in the figure, and the execution subject of the method can be a server. The server can be an independent server, a server cluster composed of multiple servers, or a cloud server for cloud computing processing. Moreover, the server can be a server capable of network operation processing. As shown in the figure, the method can specifically include the following steps: Figure 1 Step S102: obtaining the document content and service auxiliary information of the service work order submitted by the user. The service auxiliary information includes at least one of the following: video information, audio information and image information related to the service corresponding to the service work order.

[0015] ​In this embodiment, a work order is a document or system record used by an enterprise in its daily operations to manage and track work tasks, service requests, maintenance tasks, project activities, or other business-related tasks. The main types of work orders include: customer service work orders, IT service work orders, maintenance work orders, and order processing work orders. Business auxiliary information assists in the review of work orders and serves as supplementary information for them.

[0016] Taking a user-submitted work order as a mobile phone repair work order as an example, this work order includes the following text boxes: Submission Date and Time, Submitter, Request Type, Device Information, Problem Description, and Processing Status. Before submitting a work order, the user needs to fill in the date and time the work order was created or submitted in the corresponding position of the Submission Date text box; in the corresponding position of the Submitter text box, fill in the name, contact information (such as phone number, email), and possibly department information of the person submitting the work order; in the corresponding position of the Device Information text box, fill in the detailed information of the mobile phone that needs repair, including the phone model and serial number; and in the corresponding position of the Problem Description text box, fill in the specific details of the problem encountered, the fault symptoms, or the required service. The above content filled in by the user in the work order constitutes the document content of the work order.

[0017] When submitting a service order, users also need to provide relevant supporting information. This supporting information can be, for example, video or photographic information of the phone to be repaired, or audio information recorded by the user describing the characteristics of the phone.

[0018] Step S104: Analyze and process the document content of the business work order to determine whether there are any erroneous expressions in the document content; In this embodiment, after obtaining the document content and business support information of the business work order submitted by the user, the document content of the business work order can be analyzed and processed to determine whether there are any erroneous expressions in the document content.

[0019] In one embodiment, analyzing and processing the document content to determine whether there are erroneous expressions in the document content includes: Based on the text boxes in the work order, the document content is split to obtain the sub-content corresponding to each text box. For each sub-content, determine whether the sub-content matches the business corresponding to the business work order; if the sub-content does not match the business corresponding to the business work order, then determine that the sub-content is incorrect; otherwise, determine that the sub-content is correct.

[0020] In this embodiment, when analyzing and processing the document content to determine whether there are erroneous expressions, the document content can first be split according to each text box in the work order to obtain the sub-content corresponding to each text box. Then, for each sub-content, based on a preset business matching rule, it is determined whether the sub-content matches the business corresponding to the work order. If the sub-content does not match the business corresponding to the work order, the sub-content is determined to be erroneous. If the sub-content matches the business corresponding to the work order, the sub-content is determined to be correct, and no processing is performed on the correct content.

[0021] The preset business matching rules include, but are not limited to: keyword matching, business type matching, etc.

[0022] Continuing with the example above, the work order is a mobile phone repair work order. This work order includes the following text boxes: Submission Date and Time, Submitter, Request Type, Device Information, Problem Description, and Processing Status. Suppose the user enters "Computer screen is broken" in the Request Type text box. This content does not match the mobile phone repair service corresponding to the work order, therefore, the content entered in the Request Type text box is incorrect, and "Computer screen is broken" is determined to be the incorrect expression. Suppose the user enters "xx mobile phone, model 13max, serial number 12345678xxx" in the Device Information text box. This content matches the mobile phone repair service corresponding to the work order, therefore, the content entered in the Device Information text box is correct, and the content in the Device Information text box is determined to be the correct expression.

[0023] Step S106: If it is determined that there is an incorrect expression in the document content, determine the inferred expression based on the incorrect expression and business auxiliary information, and send the inferred expression to the user for content confirmation; In this embodiment, if it is determined that there is erroneous content in the document, the correct expression of the erroneous content is determined based on the erroneous content and business support information. The correct expression of the erroneous content is then inferred and sent to the user who submitted the business work order for content confirmation.

[0024] In one embodiment, determining the inferred expression content based on the erroneous expression content and business support information includes: The erroneous content is segmented to obtain a keyword set; the keyword set includes at least one keyword subset, and the keywords in each keyword subset are semantically related. Based on the keyword set and business support information, determine the inferred expression content for the incorrect expression content.

[0025] In this embodiment, when determining the inferred expression content based on the erroneous expression content and business support information, the erroneous expression content can first be segmented to obtain a keyword set corresponding to the erroneous expression content. The keyword set includes at least one keyword subset, and the keywords in each keyword subset are semantically related. Then, based on the keyword set corresponding to the erroneous expression content and the business support information, the inferred expression content is determined.

[0026] In one example, the work order is a mobile phone repair work order, and the content corresponding to the problem description text box is "Computer screen, call abnormal, unable to display the screen normally, and small fragments of the screen have fallen off." This content is incorrect. First, the incorrect expression "Computer screen, call abnormal, unable to display the screen normally, and small fragments of the screen have fallen off" can be segmented into words, resulting in the keyword set {computer screen, unable to display the screen normally, small fragments of the screen have fallen off}. Within this keyword set, {computer screen}, {unable to display the screen normally}, {call abnormal}, and {small fragments of the screen have fallen off} are each a subset of keywords.

[0027] Then, based on the keyword set and business support information corresponding to the erroneous expression, the inferred expression can be determined.

[0028] In one embodiment, determining the inferred expression content for the erroneous expression content based on a keyword set and business support information includes: Based on preset business matching rules, determine whether there exists at least one correct subset of keywords in the keyword set that matches the business corresponding to the business work order; If it is determined that there is at least one correct subset of keywords in the keyword set that matches the business corresponding to the business work order, then based on the at least one correct subset of keywords and business auxiliary information, the inferred expression content for the incorrect expression content is determined.

[0029] In this embodiment, when determining the inferred expression content for the erroneous expression content based on the keyword set and business auxiliary information, it is possible to first determine, based on preset business matching rules, whether there exists at least one correct keyword subset in at least one keyword subset of the keyword set that matches the business corresponding to the business work order; then, if it is determined that there exists at least one correct keyword subset in the keyword set that matches the business corresponding to the business work order, the inferred expression content for the erroneous expression content is determined based on at least one correct keyword subset and business auxiliary information.

[0030] Continuing with the example above, the incorrect expression "computer screen, call abnormal, unable to display the image properly, and small fragments falling off" corresponds to the keyword set {computer screen, call abnormal, unable to display the image properly, small fragments falling off}. Within this keyword set, the keyword subsets include: {computer screen}, {unable to display the image properly}, {call abnormal}, and {small fragments falling off}. Since the work order is a mobile phone repair work order, the three keyword subsets {unable to display the image properly}, {call abnormal}, and {small fragments falling off} relate to issues related to screen display and calls, and match this mobile phone repair work order. Therefore, it can be determined that the above three keyword subsets are the correct keyword subsets. Correspondingly, it can be determined that {computer screen} is the incorrect keyword subset.

[0031] Next, based on the determined subset of correct keywords and business support information, the inferred expression content for the incorrect expression content is determined.

[0032] In one embodiment, determining the inferred expression content for the erroneous expression content based on at least one subset of correct keywords and business support information includes: The subset of keywords in the keyword set other than at least one correct keyword subset is identified as the incorrect keyword subset; the incorrect keyword subset includes at least one incorrect keyword that does not match the business corresponding to the business work order; Based on at least one subset of correct keywords, determine a first target keyword that is semantically related to at least one incorrect keyword, and based on the first target keyword, determine a first inferred expression for the incorrect keyword; In addition, a first target feature related to at least one erroneous keyword is identified in the business support information, and a second inferred expression content for the erroneous keyword is determined based on the first target feature; Based on the first and second inferred expressions, determine the first target inferred expression for the erroneous keyword.

[0033] In this embodiment, when determining the inferred expression content for the erroneous expression content based on at least one correct keyword subset and business auxiliary information, firstly, the other keyword subsets in the keyword set corresponding to the erroneous expression content, excluding at least one correct keyword subset, are determined as the erroneous keyword subset; wherein, the erroneous keyword subset includes at least one erroneous keyword that does not match the business corresponding to the business work order.

[0034] Then, based on at least one subset of correct keywords, a first target keyword semantically related to at least one incorrect keyword is determined. Based on the first target keyword, a first inferred expression targeting the incorrect keyword is determined. Semantic relevance can include synonymy or near-synonymity, antonymy, hyponym / hypernym, part-whole relationship, causal relationship, topic relevance, etc. Specifically, determining the first target keyword semantically related to at least one incorrect keyword based on at least one subset of correct keywords can be done by selecting a keyword semantically related to at least one incorrect keyword from the at least one subset of correct keywords, or by regenerating a first target keyword semantically related to at least one incorrect keyword based on the at least one subset of correct keywords.

[0035] In addition, a first target feature related to at least one erroneous keyword is determined from video information, audio information or image information in the business auxiliary information, and a second inferred expression content for the erroneous keyword is determined based on the first target feature; Next, based on the first and second inferred expressions, the first target inferred expression is determined for the incorrect keyword.

[0036] Continuing with the example above, {unable to display screen correctly}, {call problems}, and {small fragments falling off} are the correct keyword subsets, while {computer screen} is the incorrect keyword subset. Since this work order is for mobile phone repair, the incorrect keyword within the {computer screen} subset can be determined to be "computer". Through analysis, based on the {call problems} subset from the three correct keyword subsets, a first target keyword semantically related to the incorrect keyword "computer" can be generated as "mobile phone". Furthermore, based on this first target keyword "mobile phone", a first inferred expression targeting this incorrect keyword can be generated, for example, "mobile phone" or "smartphone".

[0037] Furthermore, for example, if the user-submitted service assistance information includes a pre-recorded video of the phone to be repaired, then the feature "phone" related to the incorrect keyword "computer" can be filtered from the video as the first target feature. Based on this first target feature, a second inferred expression for the incorrect keyword can be generated, such as "smartphone." As another example, if the user-submitted service assistance information includes pre-recorded audio about the phone to be repaired, then the feature "phone" related to the incorrect keyword "computer" can be filtered from the audio as the first target feature. Based on this first target feature, a second inferred expression for the incorrect keyword can be generated, such as "smartphone." Yet another example, if the user-submitted service assistance information includes a pre-recorded image of the phone to be repaired, then the feature "phone" related to the incorrect keyword "computer" can be identified from the image as the first target feature. Based on this first target feature, a second inferred expression for the incorrect keyword can be generated, such as "smartphone."

[0038] Once the first inferred expression is determined to be "mobile phone" or "smartphone", and the second inferred expression is "smartphone", then the first target inferred expression for the incorrect keyword can be generated as "smartphone" based on the first and second inferred expressions.

[0039] In one embodiment, it also includes: Determine if the keyword set is missing any key expressive content; the key expressive content should be relevant to the business corresponding to the work order. If it is determined that the key expression content is missing from the keyword set, a second target keyword related to the key expression content is determined based on at least one correct keyword subset, and a third inferred expression content is determined based on the second target keyword; In addition, a second target feature related to the key expressive content is identified in the business auxiliary information, and a fourth inferred expressive content is determined based on the second target feature for the key expressive content; Based on the third and fourth inferred expressions, determine the second target inferred expression content targeting the key expression content.

[0040] In this embodiment, it is also determined whether the keyword set lacks key expressive content; wherein, the key expressive content is related to the business corresponding to the business work order. If it is determined that the keyword set lacks key expressive content, keywords related to the key expressive content are selected from at least one subset of correct keywords as second target keywords, and a third inferred expressive content is determined based on the second target keywords. The key expressive content and the second target keywords can be semantically related, for example, they can be synonyms or near-synonyms, antonyms, hierarchical relationships, part-whole relationships, causal relationships, or topic-related relationships. Specifically, determining the second target keyword related to the key expressive content based on at least one subset of correct keywords can be done by selecting keywords semantically related to the key expressive content from at least one subset of correct keywords, or by regenerating a second target keyword semantically related to the key expressive content based on at least one subset of correct keywords.

[0041] In addition, identify second target features related to key expressive content from video, audio, or image information in business auxiliary information, and determine fourth inferred expressive content for erroneous keywords based on the second target features; Next, based on the third and fourth inferred expressions, the first target inferred expression is determined for the incorrect keyword.

[0042] Continuing the example above, the keyword set is {computer screen, screen not displaying correctly, call problems, small fragments falling}, and the correct keyword subset is {screen not displaying correctly}, {call problems}, and {small fragments falling}. In this keyword set, the incorrect subset "computer screen" lacks key content; it doesn't clarify the specific malfunction of the screen, lacking concrete descriptions of the problem, such as a cracked screen or a black screen. In the correct keyword set, {small fragments falling} is semantically related to the screen, therefore, the keyword "small fragments" can be identified as a second target keyword semantically related to the missing key content. Furthermore, based on this second target keyword "small fragments," a third inferred expression for the key content can be derived as "cracked screen." Therefore, the keyword set can be determined as {computer screen cracked, screen not displaying correctly, call problems, small fragments falling}, where "computer" is an incorrect keyword.

[0043] Furthermore, for example, if the user-submitted service assistance information includes a pre-shot video of the phone to be repaired, then the feature "broken display" related to the missing key expression can be filtered from the video as a target feature. Based on the target feature "the corner of the display is broken," a fourth inferred expression for this key expression can be generated, such as "broken corner of the screen." As another example, if the user-submitted service assistance information includes pre-recorded audio about the phone to be repaired, then the feature "the corner of the display is broken" related to the missing key expression can be filtered from the audio as a target feature. Based on the target feature "the corner of the display is broken," a fourth inferred expression for this incorrect keyword can be generated, such as "broken corner of the screen." Yet another example, if the user-submitted service assistance information includes a pre-shot image of the phone to be repaired, then the feature "the corner of the display is broken" related to the missing key expression can be determined from the image as a target feature. Based on the target feature "the corner of the display is broken," a fourth inferred expression for this key expression can be generated, such as "broken corner of the screen."

[0044] After determining that the third inferred expression is "shattered screen" and the fourth inferred expression is "shattered screen at the corner", a second target inferred expression for the key expression can be generated based on the third and fourth inferred expressions, which is "shattered screen at the corner".

[0045] It is understandable that the above keyword set is the keyword set corresponding to the erroneous expression content. Therefore, the first target inferred expression content and the second target inferred expression content determined above are inferred expression content for the erroneous expression content.

[0046] After determining the hypothetical response to the incorrect expression, the hypothetical response can be sent to the user for confirmation.

[0047] Step S108: If the user confirms the speculative expression, adjust the incorrect expression to the speculative expression.

[0048] In this embodiment, if the user confirms that the speculative expression is correct, the incorrect expression will be adjusted to the aforementioned determined speculative expression.

[0049] As can be seen from the technical solutions provided by the above embodiments of the present invention, the embodiments of the present invention first obtain the document content and business auxiliary information of the business work order submitted by the user; the business auxiliary information includes at least one of the following: video information, audio information, and image information related to the business corresponding to the business work order; then, the document content of the business work order is analyzed and processed to determine whether there is any erroneous expression in the document content; if it is determined that there is erroneous expression in the document content, a speculative expression is determined based on the erroneous expression and the business auxiliary information, and the speculative expression is sent to the user for content confirmation; then, if the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. It can be seen that through the embodiments of the present invention, erroneous expression in the business work order submitted by the user can be identified, and a speculative expression is inferred based on the erroneous expression and the business auxiliary information. If the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. This not only improves the accuracy of the business work order content and the quality of content review, but also improves the efficiency of content review and enhances the user experience.

[0050] Based on the same technical concept, and corresponding to the information processing method provided in the above embodiments, this invention also provides a business work order review method. Figure 2 This is a flowchart illustrating the business work order review method provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the work order review method includes: Step S201: Obtain the document content and auxiliary information of the business work order filled in by the submitter. The auxiliary information includes video information, audio information and image information related to the business of the business work order. Step S202: Divide the document content of the business work order into content modules to obtain the sub-content corresponding to each content module; Step S203: Audit and review each sub-content separately to determine whether the sub-content matches the business corresponding to the business work order; mark the non-matching sub-content as incorrectly filled content, and mark the matching sub-content as correctly filled content; Step S204: Divide the incorrectly filled content into a keyword set, determine whether the keyword subset in the keyword set matches the business corresponding to the business work order, mark the keyword subset in the keyword set that does not match the business corresponding to the business work order as the incorrect keyword subset, and mark the keyword subset in the keyword set that matches the business corresponding to the business work order as the correct keyword subset. Step S205: Based on the subset of correct keywords, determine the first target keyword that is semantically related to the incorrect keywords in the subset of incorrect keywords, and determine the first inferred expression content for the incorrect keywords based on the first target keyword; Step S206: Determine a first target feature related to at least one erroneous keyword in the business auxiliary information, and determine a second inferred expression content for the erroneous keyword based on the first target feature; Step S207: Based on the first and second speculative expressions, determine the first target speculative expression for the erroneous keyword; Step S208: Determine whether the keyword set is missing key expression content; if it is determined that the keyword set is missing key expression content, determine the second target keyword related to the key expression content based on the correct keyword subset, and determine the third inferred expression content for the key expression content based on the second target keyword; Step S209: Determine the second target feature related to the key expression content in the business auxiliary information, and determine the fourth inferred expression content for the key expression content based on the second target feature; Step S210: Based on the third and fourth inferred expression content, determine the second target inferred expression content targeting the key expression content.

[0051] Step S211: Send the first target predicted expression content and the second target predicted expression content to the user for content confirmation. If the user confirms that there are no errors, adjust the erroneous expression content according to the first target predicted expression content and the second target predicted expression content.

[0052] Based on the same technical concept, and corresponding to the information processing method provided in the above embodiments, this invention also provides an information processing device. Figure 3 This is a schematic diagram of the module composition of an information processing device provided in an embodiment of the present invention. The information processing device is used to perform... Figures 1 to 2 The described information processing methods, such as Figure 3 As shown, the information processing device includes: The acquisition module 301 is used to acquire the document content and business auxiliary information of the business work order submitted by the user; the business auxiliary information includes at least one of the following: video information, audio information and image information related to the business corresponding to the business work order; Analysis module 302 is used to analyze and process the document content of the business work order to determine whether there are any erroneous expressions in the document content; The determination module 303 is used to determine, based on the erroneous expression content and the business auxiliary information, a speculative expression content for the erroneous expression content when it is determined that there is erroneous expression content in the document content, and to send the speculative expression content to the user for content confirmation; The adjustment module 304 is used to adjust the erroneous expression to the speculative expression when the user confirms the speculative expression.

[0053] Optionally, the analysis module 302 is specifically used to split the document content according to each text box in the business work order to obtain the sub-content corresponding to each text box; For each sub-content, determine whether the sub-content matches the business corresponding to the business work order; if the sub-content does not match the business corresponding to the business work order, then determine that the sub-content is an incorrect expression; otherwise, determine that the sub-content is a correct expression.

[0054] Optionally, the aforementioned determining module 303 is specifically used to perform word segmentation processing on the erroneous expression content to obtain a keyword set; the keyword set includes at least one keyword subset, and each keyword in each keyword subset is semantically related; Based on the keyword set and the business support information, the inferred expression content for the erroneous expression content is determined.

[0055] Optionally, the aforementioned determining module 303 is further specifically used to determine, based on preset business matching rules, whether there exists at least one correct subset of keywords in the keyword set that matches the business corresponding to the business work order; If it is determined that there exists at least one correct keyword subset in the keyword set that matches the business corresponding to the business work order, the inferred expression content for the erroneous expression content is determined based on the at least one correct keyword subset and the business auxiliary information.

[0056] Optionally, the determining module 303 is further configured to determine the other keyword subsets in the keyword set besides the at least one correct keyword subset as the incorrect keyword subset; the incorrect keyword subset includes at least one incorrect keyword that does not match the business corresponding to the business work order; Based on the at least one subset of correct keywords, determine a first target keyword that is semantically related to the at least one incorrect keyword, and based on the first target keyword, determine a first inferred expression content for the incorrect keyword; In addition, a first target feature related to the at least one erroneous keyword is determined in the business support information, and a second inferred expression content for the erroneous keyword is determined based on the first target feature; Based on the first and second inferred expression content, a first target inferred expression content is determined for the erroneous keyword.

[0057] Optionally, the determining module 303 is further configured to determine whether the keyword set lacks key expressive content; the key expressive content is related to the business corresponding to the business work order; If it is determined that the keyword set lacks key expression content, a second target keyword related to the key expression content is determined based on the at least one correct keyword subset, and a third inferred expression content for the key expression content is determined based on the second target keyword; In addition, a second target feature related to the key expression content is determined in the business support information, and a fourth inferred expression content is determined based on the second target feature for the key expression content; Based on the third and fourth speculative expressions, a second target speculative expression is determined for the key expression.

[0058] As can be seen from the technical solutions provided by the above embodiments of the present invention, the embodiments of the present invention first obtain the document content and business auxiliary information of the business work order submitted by the user; the business auxiliary information includes at least one of the following: video information, audio information, and image information related to the business corresponding to the business work order; then, the document content of the business work order is analyzed and processed to determine whether there is any erroneous expression in the document content; if it is determined that there is erroneous expression in the document content, a speculative expression is determined based on the erroneous expression and the business auxiliary information, and the speculative expression is sent to the user for content confirmation; then, if the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. It can be seen that through the embodiments of the present invention, erroneous expression in the business work order submitted by the user can be identified, and a speculative expression is inferred based on the erroneous expression and the business auxiliary information. If the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. This not only improves the accuracy of the business work order content and the quality of content review, but also improves the efficiency of content review and enhances the user experience.

[0059] The information processing apparatus provided in this embodiment of the invention can implement the various processes in the embodiments corresponding to the above information processing method. To avoid repetition, these processes will not be described again here.

[0060] It should be noted that the information processing device and the information processing method provided in the embodiments of the present invention are based on the same inventive concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned information processing method, and repeated details will not be described again.

[0061] Corresponding to the information processing method provided in the above embodiments, based on the same technical concept, this embodiment of the invention also provides an electronic device for performing the above information processing method. Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention, such as... Figure 4 As shown, electronic devices can vary considerably due to differences in configuration or performance. They may include one or more processors 401 and memories 402, with the memory 402 storing one or more application programs or data. The memory 402 can be temporary or persistent storage. The application programs stored in the memory 402 may include one or more modules (not shown), each module including a series of computer-executable instructions for the electronic device. Furthermore, the processor 401 may be configured to communicate with the memory 402 and execute the series of computer-executable instructions stored in the memory 402 on the electronic device. The electronic device may also include one or more power supplies 403, one or more wired or wireless network interfaces 404, one or more input / output interfaces 405, and one or more keyboards 406.

[0062] Specifically, in this embodiment, the electronic device includes a processor, a communication interface, a memory, and a communication bus; wherein, the processor, the communication interface, and the memory communicate with each other via the bus; the memory is used to store computer programs; the processor is used to execute the programs stored in the memory to implement the following method steps: Obtain the document content and business support information of the business work order submitted by the user; the business support information includes at least one of the following: video information, audio information and image information related to the business corresponding to the business work order; The document content of the business work order is analyzed and processed to determine whether there are any erroneous expressions in the document content; If it is determined that there is an incorrect expression in the document content, a presumed expression is determined based on the incorrect expression and the business assistance information, and the presumed expression is sent to the user for content confirmation; If the user confirms the inferred expression, the erroneous expression will be adjusted to the inferred expression.

[0063] As can be seen from the technical solutions provided by the above embodiments of the present invention, the embodiments of the present invention first obtain the document content and business auxiliary information of the business work order submitted by the user; the business auxiliary information includes at least one of the following: video information, audio information, and image information related to the business corresponding to the business work order; then, the document content of the business work order is analyzed and processed to determine whether there is any erroneous expression in the document content; if it is determined that there is erroneous expression in the document content, a speculative expression is determined based on the erroneous expression and the business auxiliary information, and the speculative expression is sent to the user for content confirmation; then, if the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. It can be seen that through the embodiments of the present invention, erroneous expression in the business work order submitted by the user can be identified, and a speculative expression is inferred based on the erroneous expression and the business auxiliary information. If the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. This not only improves the accuracy of the business work order content and the quality of content review, but also improves the efficiency of content review and enhances the user experience.

[0064] This invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the following method steps: Obtain the document content and business support information of the business work order submitted by the user; the business support information includes at least one of the following: video information, audio information and image information related to the business corresponding to the business work order; The document content of the business work order is analyzed and processed to determine whether there are any erroneous expressions in the document content; If it is determined that there is an incorrect expression in the document content, a presumed expression is determined based on the incorrect expression and the business assistance information, and the presumed expression is sent to the user for content confirmation; If the user confirms the inferred expression, the erroneous expression will be adjusted to the inferred expression.

[0065] As can be seen from the technical solutions provided by the above embodiments of the present invention, the embodiments of the present invention first obtain the document content and business auxiliary information of the business work order submitted by the user; the business auxiliary information includes at least one of the following: video information, audio information, and image information related to the business corresponding to the business work order; then, the document content of the business work order is analyzed and processed to determine whether there is any erroneous expression in the document content; if it is determined that there is erroneous expression in the document content, a speculative expression is determined based on the erroneous expression and the business auxiliary information, and the speculative expression is sent to the user for content confirmation; then, if the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. It can be seen that through the embodiments of the present invention, erroneous expression in the business work order submitted by the user can be identified, and a speculative expression is inferred based on the erroneous expression and the business auxiliary information. If the user confirms the speculative expression, the erroneous expression is adjusted to the speculative expression. This not only improves the accuracy of the business work order content and the quality of content review, but also improves the efficiency of content review and enhances the user experience.

[0066] This invention also provides a computer program product. When the computer program is executed by a processor, it implements the various processes of the above-described information processing method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0067] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0069] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0071] In a typical configuration, an electronic device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0072] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0073] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0074] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0075] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. An information processing method characterized by comprising: The method comprises: obtaining document content and business auxiliary information of a business work order submitted by a user; the business auxiliary information comprises at least one of video information, audio information and image information related to a business corresponding to the business work order; analyzing and processing the document content of the business work order to determine whether there is an error expression content in the document content; in a case where it is determined that there is an error expression content in the document content, determining a presumed expression content for the error expression content according to the error expression content and the business auxiliary information, and sending the presumed expression content to the user for content confirmation; in a case where the user confirms the presumed expression content, adjusting the error expression content to the presumed expression content.

2. The method of claim 1, wherein, The analysis and processing of the document content to determine whether there is an error expression content in the document content comprises: splitting the document content according to each text box in the business work order to obtain sub-content corresponding to each text box; for each sub-content, determining whether the sub-content matches the business corresponding to the business work order; if the sub-content does not match the business corresponding to the business work order, it is determined that the sub-content is an error expression content; otherwise, it is determined that the sub-content is a correct expression content.

3. The method of claim 1, wherein, The determination of the presumed expression content for the error expression content according to the error expression content and the business auxiliary information comprises: performing word segmentation processing on the error expression content to obtain a keyword set; the keyword set comprises at least one keyword subset, and each keyword in each keyword subset is semantically associated; determining the presumed expression content for the error expression content according to the keyword set and the business auxiliary information.

4. The method of claim 3, wherein, The determination of the presumed expression content for the error expression content according to the keyword set and the business auxiliary information comprises: determining whether there is at least one correct keyword subset in the keyword set that matches the business corresponding to the business work order based on a preset business matching rule; in a case where it is determined that there is at least one correct keyword subset in the keyword set that matches the business corresponding to the business work order, determining the presumed expression content for the error expression content according to the at least one correct keyword subset and the business auxiliary information.

5. The method of claim 4, wherein, The determination of the presumed expression content for the error expression content according to the at least one correct keyword subset and the business auxiliary information comprises: determining other keyword subsets in the keyword set except the at least one correct keyword subset as error keyword subsets; the error keyword subsets comprise at least one error keyword that does not match the business corresponding to the business work order; determining a first target keyword semantically related to the at least one error keyword according to the at least one correct keyword subset, and determining a first presumed expression content for the error keyword according to the first target keyword; And, determining a first target feature related to the at least one error keyword in the business auxiliary information, and determining a second presumed expression content for the error keyword according to the first target feature; According to the first presumed expression content and the second presumed expression content, determining a first target presumed expression content for the error keyword.

6. The method of claim 5, wherein, Also includes: Determining whether the keyword set is missing a key expression content; the key expression content is related to the business corresponding to the business work order; In the case of determining that the keyword set is missing a key expression content, determining a second target keyword related to the key expression content according to the at least one correct keyword subset, and determining a third presumed expression content for the key expression content according to the second target keyword; And, determining a second target feature related to the key expression content in the business auxiliary information, and determining a fourth presumed expression content for the key expression content according to the second target feature; According to the third presumed expression content and the fourth presumed expression content, determining a second target presumed expression content for the key expression content.

7. An information processing apparatus, characterized by comprising: The device comprises: An acquisition module is configured to acquire document content and business auxiliary information of a business work order submitted by a user; the business auxiliary information comprises at least one of video information, audio information and image information related to a business corresponding to the business work order; An analysis module is configured to analyze and process the document content of the business work order, and determine whether there is an error expression content in the document content; A determination module is configured to, in the case of determining that there is an error expression content in the document content, determine a presumed expression content for the error expression content according to the error expression content and the business auxiliary information, and send the presumed expression content to the user for content confirmation; An adjustment module is configured to, in the case of the user confirming the presumed expression content, adjust the error expression content to the presumed expression content.

8. An electronic device, comprising: The device comprises a processor, a communication interface, a memory and a communication bus; wherein the processor, the communication interface and the memory complete mutual communication through the bus; the memory is used to store a computer program; the processor is used to execute the program stored on the memory, and realize the information processing method steps of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to realize the information processing method steps of any one of claims 1-6.

10. A computer program product, characterised in that, The computer program is executed by the processor to realize the information processing method steps of any one of claims 1-6.

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