Keyword collecting method, information processing device and program

Abstract

To provide a keyword according to the epidemicity and the palatability for a creator who creates content, etc., by utilizing information collected from a searching service, etc.SOLUTION: A keyword collecting method includes the steps for: causing a communication function unit 10 to access, via a network, information providing means 8 for providing relevant words for a certain keyword; causing an information collecting unit 12 to obtain a theme word from a user terminal 6; collecting, from the information providing means in accordance with a set collection condition, relevant words based on the theme word and the relevant words based on the previously collected relevant words; storing the collected relevant words in a storing unit 14; causing an information processing unit 16 to analyze the collection tendency of the relevant words, and to generate extracted word information including the relevant word matching with an extraction condition by utilizing the analyzing result; and causing an information presenting unit to present the extracted word information to the user terminal.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The technology disclosed herein relates to a technology that identifies the content of articles and the like of a website that a user browsing a website uses when searching or views, and extracts keywords that are of high interest to the browsing user. [Background technology]

[0002] Users browsing content on the Internet search for specific keywords according to their specific purpose, and search for websites that provide the information they are looking for. In this search process, for example, the keywords entered may have a broad meaning compared to the intended content, or may not be specific enough to identify the intended content. In such cases, the search results may contain a huge number of results that include content that is relevant to the intended content as well as content that is not relevant to the intended content. In order to obtain search results that meet the needs of the user, a method is used in which multiple keywords related to the desired topic are combined. Such related keywords can be provided by search service sites or prediction functions installed in web browsers that suggest words that are predicted to be related to the words entered by the user.

[0003] Regarding keywords used in such searches, there is a system that extracts a second query with similar features to those of an input first query from a query history stored in a storage unit, and determines an additional query to be suggested (for example, Patent Document 1). In addition, there is a system that searches documents in a database, extracts co-occurring words and query words for a specific word, calculates the relevance of phrases containing those words, and displays them, allowing users to easily understand whether the contents of the document are what they are looking for (for example, Patent Document 2). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2018-22214 A [Patent Document 2] JP 2006-139484 A Summary of the Invention [Problem to be solved by the invention]

[0005] Meanwhile, website administrators and content creators can create content that meets the themes desired by website users by understanding the content and fields of interest of website users. However, because the tastes and trends of website users are prone to change, it is difficult to investigate these trends in detail, and there is also the issue that it takes a huge amount of effort to constantly track and investigate changes in the tastes and trends of website users. In addition, these tastes and trends are reflected in the keywords that website users enter when using search services, databases, artificial intelligence (AI), etc., but it is difficult to individually understand what keywords are being entered. In addition, even if content is created that is related to the content that the user is interested in, if the content does not contain keywords that match or are related to the keywords used by the user in searches, etc., it may not be relevant to searches, database indexes, or inquiries to AI, or it may be ranked low in search results. The ranking of search results has a significant impact on whether or not they catch the user's eye and interest, so the selection of keywords to use in creating content is an important factor.

[0006] Patent Documents 1 and 2 do not disclose or suggest any solution to such problems, and the configurations disclosed in Patent Documents 1 and 2 cannot solve such problems.

[0007] Therefore, in consideration of the above-mentioned problems, the object of the technology disclosed herein is to use information collected from search services, etc. to provide creators who create content and websites with keywords that are in line with the trends and preferences of viewing users. [Means for solving the problem]

[0008] In order to achieve the above object, one aspect of the keyword collection method of the present disclosure is a keyword collection method executed by a computer, comprising the steps of: a communication function unit accessing, via a network, an information supply means that supplies related words for a specific keyword; an information collection unit acquiring theme words from a user terminal; the information collection unit collecting related words based on the theme words and related words based on previously collected related words from the information supply means according to set collection conditions; storing the collected related words in a storage unit; and an information processing unit analyzing the collection tendency of the related words and using the analysis results to generate extracted word information including the related words that meet the extraction conditions. and a step in which an information presenting unit presents the extracted word information on the user terminal.

[0009] In the above keyword collection method, the information processing unit counts the number of occurrences of related words in the storage unit, ranks them according to the number of occurrences, and analyzes the collection trend, and extracts related words that satisfy a threshold value for the number of occurrences or the rank set as the extraction condition, to generate the extracted word information. The above keyword collection method includes a step in which the information collection unit extracts evaluation criteria information including the related words as well as any one or more of the number of times the related words are used, presentation location information, usage status information, and value information from the presented information from the information supply means based on the collection conditions, and a step in which the information processing unit compares the evaluation criteria information for each related word and analyzes the collection tendency based on the comparison results. The above keyword collection method includes a step in which the information collection unit counts the number of times related words have been collected, or obtains the number of times the related words have appeared counted by the information processing unit, and repeats this process until the number of times the related words have been collected or the number of times the related words have appeared satisfies a set condition, thereby collecting related words. The above keyword collection method includes a step in which the information collection unit acquires at least collection date and time information and identification information of the information supply means along with the related words collected from the information supply means and stores them in the storage unit, and a step in which the storage unit generates a database in which the collection date and time information and the identification information are associated with the acquired related words.

[0010] In order to achieve the above-mentioned object, one aspect of an information processing device disclosed herein includes a communication function unit that accesses via a network an information supply means that supplies related words for a specific keyword, an information collection unit that acquires theme words from a user terminal and collects related words based on the theme words and related words based on previously collected related words from the information supply means according to set collection conditions, a storage unit that stores the collected related words, an information processing unit that analyzes the collection tendency of the related words and uses the analysis results to generate extracted word information including the related words that meet the extraction conditions, and an information presentation unit that presents the extracted word information to the user terminal.

[0011] In the above information processing device, the information processing unit counts the number of occurrences of related words in the storage unit, ranks them according to the number of occurrences to analyze collection trends, and extracts related words that satisfy a threshold value for the number of occurrences or the rank set as the extraction condition to generate the extracted word information. In the above information processing device, the information collecting unit extracts evaluation criteria information including any one or more of the number of times the related words are used, presentation position information, use state information, and value information, from the presentation information from the information supply means based on the collection conditions, together with the related words; The information processing unit compares the evaluation criteria information for each of the related words and analyzes the collection tendency based on the comparison result. In the above-mentioned information processing device, the information collection unit counts the number of times related words are collected, or obtains the number of times the related words appear counted by the information processing unit, and repeats this process to collect related words until the number of times they are collected or the number of times they appear satisfies a set condition. In the above information processing device, the information collection unit acquires at least collection date and time information and identification information of the information supply means along with the related words collected from the information supply means, stores them in the storage unit, and generates a database in which the collection date and time information and the identification information are associated with the acquired related words. In the above information processing device, the information supply means includes any one or more of a website providing an information search service, an information provision service site using AI, and a database equipped with an information search function. In the above information processing device, the information collection unit collects the related words using any one or more of the following collection conditions: words determined from search records accumulated by the information supply means, or words determined by a prediction process based on the search records, words used on a website page searched for using the theme words or the collected related words, words used to display an advertisement included in a search result page using the theme words or the collected related words, and words included in a response from an AI capable of engaging in written dialogue in response to input characters.

[0012] In order to achieve the above-mentioned objective, one aspect of the keyword collection program disclosed herein is a keyword collection program implemented by a computer, which accesses via a network an information supply means that supplies related words for a specific keyword, and executes the following functions from the information supply means: collects related words based on theme words obtained through a user terminal and related words based on previously collected related words in accordance with set collection conditions; analyzes the collection tendency of the related words and uses the analysis results to generate extracted word information including the related words that meet the extraction conditions; and presents the extracted word information on the user terminal.

[0013] In the above-mentioned keyword collection program, the number of occurrences of the collected related words is counted, and the collection trend is analyzed by ranking the number of occurrences, and the related words that satisfy the threshold value for the number of occurrences or the ranking set as the extraction condition are extracted to generate the extracted word information. a function of extracting evaluation criteria information including the number of times the related words are used, presentation location information, use state information, and value information, or two or more of the related words, from the presentation information from the information supply means based on the collection conditions, in the keyword collection program; and a function of comparing the evaluation criteria information for each of the related words and analyzing the collection tendency based on the comparison result. Effect of the Invention

[0014] According to the configuration of the present disclosure, any of the following effects can be obtained.

[0015] (1) From collection trends such as the appearance of related words collected using specific theme words, it is possible to infer keywords that represent the information needs, preferences, trends, etc. of users who are browsing and collecting information. (2) By extracting and presenting keywords that match the preferences and trends of users, it is possible to improve the evaluation of the quality of content and websites that use these keywords, and to contribute to the creation of content that is useful and highly satisfying, such as by enabling users to find the information they are looking for. (3) When creating content, the workload of researching keywords related to trending topics can be reduced. [Brief description of the drawings]

[0016] [Figure 1] 1 is a diagram illustrating an example of a configuration of a keyword collecting system according to a first embodiment. [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of an information processing device. [Diagram 3] 1 is a functional block diagram showing a function of collecting related words and generating extracted word information by an information processing device. [Figure 4] FIG. 13 is a diagram showing an example of the configuration of a related word DB; [Diagram 5] 13 is a flowchart showing an example of a keyword collection process. [Figure 6] FIG. 11 is a diagram illustrating an example of a configuration of a keyword collecting system according to a second embodiment. [Figure 7] 1 is a functional block diagram showing a function of collecting related words and generating extracted word information by an information processing device. [Figure 8] 13 is a flowchart showing an example of a keyword collection process. [Figure 9] FIG. 13 is a diagram showing a process of collecting related words according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] [First embodiment] Fig. 1 shows an example of the configuration of a keyword collection system. The configuration shown in Fig. 1 is just an example, and the technology of the present disclosure is not limited to such a configuration. This keyword collection system 2 has a function of collecting related words that are related or similar to the meaning, purpose, or use indicated by the set theme word, and analyzing the value of the collected related words. The theme word is, for example, a keyword that represents a general concept that identifies the content in which multiple browsing users on a network are interested, or a trendy item or field. The related word is, for example, a keyword that is used by browsing users on a network in combination with the theme word to search for information, and is also used to identify the content and type of online content and web content consisting of articles, videos, audio information, etc. The keyword collection system 2 has a function of collecting multiple related words that represent content that the browsing user is interested in or is assumed to be trendy from the field or content indicated by the theme word, generating extracted word information by extracting keywords that meet specific conditions or purposes from the related words, and providing the extracted word information to users who create content, etc. This keyword collection system 2 includes, for example, an information processing device 4, a user terminal 6, and an information supply means 8, and the information processing device 4 and the user terminal 6, and the information processing device 4 and the information supply means 8 each transmit and receive information via a network such as the Internet. This information processing device 4 executes the process of collecting related words and generating extracted word information. The user terminal 6 is a terminal used by a user who requests extracted word information related to a theme word. The information supply means 8 is an example of a means for providing related words from keywords used on a network or information stored in a database for keywords such as a theme word or its related words.

[0018] <About the information processing device 4> The information processing device 4 is composed of, for example, a PC (Personal Computer) equipped with functions for collecting related words and generating extracted word information, as well as a server device equipped with these functions and functions for publishing and managing the web pages of contracted administrators on the network. The information processing device 4 collects related words related to a specified keyword from an information supply means 8 via the network, and then analyzes the collection tendency to generate extracted word information. The information processing device 4 is composed of, for example, a communication function unit 10, an information collection unit 12, a storage unit 14, an information processing unit 16, and the like. This collection tendency is an example of evaluation information for extracting related words that suit the user's purpose from the multiple collected related words.

[0019] The communication function unit 10 has a function of connecting to the user terminal 6 and the information supply means 8 through a network, and is an example of an information presentation unit that presents extracted word information to the communication function unit and the user terminal 6 of the present disclosure. The information collecting unit 12 is an example of a functional unit that collects related words based on collection conditions set by accessing the information supply means 8 and conditions set for search processing. The storage unit 14 is a means for storing at least the related words collected by the information collection unit 12, and may store information temporarily in the keyword collection process, or may store the information for a long period of time, such as by creating a database. The information stored in the storage unit 14 may include, in addition to the related words, information identifying the information supply means 8 from which the information was collected, information on the date and time of collection, the theme words used for collection, information on the user terminal 6 that input the theme words, and other related information. The information processing unit 16 is a functional unit that analyzes the collection tendency of the collected related words, extracts extracted words from the related words based on extraction conditions, and generates extracted word information. The collection tendency includes, for example, when the information collecting unit 12 uses a theme word and multiple related words to collect related words multiple times, information on the appearance state such as the number of times the same related word appears repeatedly, the timing of appearance, and continuity. In addition, the collection tendency includes, for example, information that can be analyzed using information held by the information supplying means 8 or information presented by the information supplying means 8 regarding the theme word and related words. The extraction conditions are an example of conditions for selecting a specific keyword from a plurality of related words based on the analysis results of collection trends, and include, for example, a threshold for the number of occurrences, the time of occurrence, the number of consecutive occurrences, and the like.

[0020] <About User Terminal 6> The user terminal 6 is a terminal device used by a user who utilizes the information processing device 4 to request extracted word information for a specific theme word, and is composed of a computer equipped with information input, communication, and information display functions, such as a PC or a mobile terminal device. Such users include those who operate and manage websites and create content using theme words and the obtained extracted words. The user terminal 6 registers terminal information and user identification information in the information processing device 4, for example, and also registers theme words and collection conditions for keyword collection. In response, when the user terminal 6 obtains extracted word information from the information processing device 4, it uses the extracted word information to create websites and content.

[0021] The collection conditions registered in the information processing device 4 are conditions such as means of keyword collection and type of information that the information processing device 4 performs on the information supply means 8, and include, for example, the following: (1) A condition for collecting keywords that have been used in past searches stored in the information supply means 8 and that are to be input next for the purpose of further narrowing down the contents of the results of a search using a theme word or a keyword related thereto; (2) A condition for collecting keywords that are predicted and calculated by the information supply means 8 from information such as past search records, and that are used in combination with theme words to identify information such as content to be searched for or to narrow the search range; (3) A condition for collecting words used in websites or contents listed in search results obtained by using a search function of the information supply means 8 or a search means not shown in the figure, and using a theme word or a related word previously obtained, (4) A condition for collecting words used in advertisements, etc. displayed on a search result page in a search result obtained by using the search function of the information supply means 8 or a search means not shown in the figure, There is.

[0022] It should be noted that the collection conditions 1 to 4 shown here are merely examples, and the technology of the present disclosure also includes collection of related words under other conditions.

[0023] <About information supply means 8> The information supply means 8 is composed of a server device, a database, etc., having a function of providing related words related to the input keyword, and includes, for example, a search service of a website related to the keyword. In addition, the information supply means 8 may be, for example, a processing device having a function of acquiring search results from an external search service (not shown) using a theme word input from the information processing device 4 and providing the search results to the information processing device 4, or a website using AI, etc., capable of processing such as investigating related words using a research means or database (not shown) for the input keyword or predicting related words used by browsing users or other websites. In the process of collecting related words, for example, the information supply means 8 may have a function of providing information corresponding to the specified collection conditions, or the information processing device 4 may extract information corresponding to the set collection conditions from search information obtained by inputting theme words and related words into the information supply means 8. The information supply means 8 used in this collection process is not limited to, for example, a single search service, a website that can use AI, or a database, and related words may be collected using multiple services in combination. When multiple information supply means 8 are used in this way, the information processing device 4 may store the related words collected by each of them in, for example, the information processing unit 16, which is a common working area, and perform processing such as analysis of collection trends.

[0024] FIG. 2 shows an example of the hardware configuration of the information processing device 4. The information processing device 4 is configured as a computer, and includes, for example, a processor 20, a storage unit 22, a communication unit 24, a display unit 26, and a timer 28. The processor 20 executes a keyword collection processing program in the memory unit 22, and executes information processing such as collection processing of related words from the information supply means 8, analysis of collection trends, and generation processing of extracted word information. The memory unit 22 is an example of a storage unit that stores programs and also stores keywords and the like, and includes memory elements such as a ROM (Read-Only Memory) constituting a data memory 32, and a RAM (Random-Access Memory) 30 that is a calculation processing area. The data memory 32 may include a related word DB (Data Base) 34 that stores collected related words and information related thereto. In addition, the display unit 26 includes a monitor that displays collected related words, extracted word information, and the like. The timer 28 measures the timing of transmission and reception of information between the user terminal 6 and the information supply means 8, the execution timing of collection processing, analysis processing, extraction processing, and the like executed by the information processing device 4, and elapsed time.

[0025] <Processing performed by the information processing device> 3 shows a function for collecting related words and generating extracted word information. The configuration shown in FIG. 3 is an example, and the technology of the present disclosure is not limited to such a configuration. When the information processing device 4 forms a processing area 42 of the information collection unit 12, for example, in response to access from a user terminal 6 and acquisition of a theme word 40, it collects related words using an information supply means 8 according to specified collection conditions. 3, the related word collection process collects related words from the information supply means 8 based on the input theme word 40 and generates collection list information. This collection list information includes, for example, a word information section 44 used in the collection process and a collection result section 46. In the first layer information collection process, the theme word is stored in the word information section 44, and a number of related words A, B, ...X collected from the information supply means 8 are stored in the collection result section 46.

[0026] The information processing device 4 uses the multiple related words collected in the first layer as the second layer collection process, collects related words based on the related words collected earlier from the information supply means 8, and generates collection list information for each collection result. In this collection list information, for example, the related words used in the collection process are stored in the word information section 44, and the multiple collected related words are stored in the collection result section 46. In this way, the information processing device 4 repeatedly executes the collection process of related words in the next layer using the related words collected in the collection process of the previous layer. That is, in this collection process, a collection result unit 46 is generated according to a multiple of the number of layers in the collection process and the number of words collected. The information processing device 4 may execute the collection process according to setting conditions such as a preset collection layer number condition, the number of related words obtained, or other thresholds set for the number of occurrences of duplicate related words, which will be described later. These setting conditions may be preset in the information collection unit 12 of the information processing device 4, for example, or the user may input desired setting conditions via the user terminal 6.

[0027] Next, the information processing device 4 performs a collection trend analysis process for a plurality of related words. In this analysis process, for example, the case where the occurrence count of related words is used as evaluation criterion information for the collection trend is shown. The information processing device 4, for example, compares all collection result sections 46, extracts and groups the same related words, and then counts the occurrence count of each related word. Specifically, since related words A and X included in the first layer collection result section 46 are included in the second layer collection result section 46, these are designated as duplicate words M1 and M2, respectively, and an extraction area 48 is generated and stored. This extraction area 48 is an area where the collection trend analysis process is performed, and is also an area where the setting process of extracted words to be presented to the user is performed, and includes, for example, an extracted word information section 50 and an evaluation value information section 52.

[0028] The extracted word information section 50 is an example of an area where related words that are applied in the same or different collection hierarchies are extracted from the collected related words and stored. The evaluation value information section 52 is an example of an area in which an evaluation value set based on evaluation criterion information is stored. This evaluation value may be calculated based on setting information (not shown) for the evaluation criterion information, in addition to the case where evaluation criterion information such as the number of occurrences is used as is. In other words, when setting the evaluation value, for example, an item with a large number of occurrences may be highly evaluated. In this evaluation value information section 52, for example, the number of occurrences may be used as an evaluation value, or information on the collection hierarchical level in which the word appears may be used as an evaluation value instead of or in combination with the number of occurrences. That is, the information processing device 4 may prioritize keywords close to the theme word, which is the main keyword, and set a high evaluation for related words collected at an earlier level of the hierarchy. When setting an evaluation value by combining the number of occurrences and the number of collection hierarchical levels, the setting conditions described above may be used.

[0029] In addition, the evaluation value may be calculated by combining the collection hierarchies in which overlapping related words appear. In this case, for example, if there are overlapping related words in the first and third hierarchical collections, and overlapping related words in the second, fourth, and sixth hierarchical collections, the evaluation value may use factors such as the earlier appearance of the overlapping related words or the shorter interval between the collection hierarchies until the next appearance.

[0030] Furthermore, the analysis process of the collection tendency includes not only a case where common evaluation criterion information is used regardless of the collection condition of the related word, such as the number of occurrences, but also a case where evaluation criterion information specific to each of the collection conditions 1 to 4 is used. In this case, the evaluation criterion information includes, for example, an analysis based on the related word acquired by the information processing device 4, an analysis using information acquired by the information supply means 8, and an analysis of the collection tendency based on information presented by the information supply means 8.

[0031] As a specific example, if the information supply means 8 is a server that provides a search service, the number of times users input related words in a predetermined period, i.e., the number of searches, may be obtained from the server and used as the evaluation criterion information. In addition, in the case of collection condition 4, the information processing device 4 may obtain, for example, the advertisement placement fee of an advertisement displayed on a search result page associated with a keyword input in the search process. Then, in the collection trend analysis process, the advertisement placement fee may be compared directly between multiple overlapping related words, or the evaluation information calculated from the placement fee may be compared. In addition, in the case of collection condition 3, the information processing device 4 may collect, for example, location information where the theme word or related word appears, together with the number of occurrences of these keywords, for websites or contents listed in the search results. In collecting this location information, for example, information on the number of lines where the keywords appear, the top side, the center side, the bottom side, etc., are divided with respect to the overall structure of the website or content, or information on whether the keywords are written in tags such as headings or titles in the case of HTML format websites is collected. In addition, when the same related words are used multiple times in one piece of content, location information such as the range where the related words are concentrated or used frequently may be acquired. In the analysis process of the collection tendency, for example, multiple related words may be compared with each other, for example, by highly evaluating those that are included in the top side of the content or in the title tag.

[0032] The extracted words with high evaluation values ​​are those in which related keywords appear repeatedly and recursively, are words entered in search processing by general browsing users who use the information supply means 8 for search services, etc., and are evaluated as having a high degree of relevance to the initially set theme word. In other words, it can be inferred that the extracted words are related words that have a high degree of interest, concern, preference, and trendiness for the theme word.

[0033] Then, the information processing unit 16 extracts some or all of the extracted words stored in the extracted word information unit 50 based on extraction conditions preset for the generated extraction area 48. The extraction conditions may specify, for example, that a predetermined number of words with high evaluation values ​​be extracted.

[0034] In addition, the information processing device 4 may, for example, continuously execute the process of collecting related words until the set conditions are met, and then execute the analysis process and extraction of extracted words, or may simultaneously execute the analysis process of counting the overlapping states of related words collected up to that point for each collection hierarchy.

[0035] <About the related word DB34> FIG. 4 shows an example of the configuration of the related word DB 34. In the storage unit 14, for example, a database is formed that stores related words collected by the information collecting unit 12. This related word DB is not limited to being formed in the data memory 32, for example, but may be temporarily formed in the RAM 30 when the keyword collecting process is executed. As shown in FIG. 4, the related word DB 34 is made up of a search word section 341, a related word section 342, a date and time section 343, an identification information section 344, a collection condition section 345, an occurrence count section 346, an evaluation criterion information section 347, a rank information section 348, and the like.

[0036] The search word section 341 is an area in which keywords used to collect related words from the information supply means 8 are stored. In addition to a theme word input via the user terminal 6, the search word section 341 stores a plurality of related words acquired in the previous collection process as keywords to be used in the next collection process. The related word section 342 is an area for storing related words collected by the keywords stored in the search word section 341. The number of storage frames in this related word section 342 is set in accordance with the number of related words provided by the information supply means 8 or output in the search result. The date and time section 343 is an area in which information on the date and time of the related word collection process is stored. In the information collection process, the extracted word information may be generated not only by using the theme word set this time or related words collected from previously acquired related words, but also by combining related words collected from the same keyword or related keywords previously acquired. In this case, the evaluation value information of the extracted word may be set by using, for example, the collected date and time information. In addition, the information processing device 4 may present collected information using the same or similar keywords stored in the related word DB 34 for the theme words or related words set in the collection process, or may combine newly collected related words with stored related words to generate extracted word information.

[0037] The identification information section 344 is an area for storing information for identifying the information supply means 8, such as the search service used in the keyword collection process, and information for specifying the result screen on which the collection results are displayed. This identification information includes, for example, the domain name and address information of the website providing the search service or the information supply service using AI, and address information of the database. The collection condition section 345 is an area for storing collection conditions that are set by the user terminal 6 and that are used in the related word collection process. The occurrence count section 346 is an area in which information on the occurrence count, which is a collection tendency obtained by the analysis process, is stored.

[0038] The evaluation criteria information section 347 is an example of an area for storing information used in the collection trend analysis process. For example, the number of duplicated occurrences, the number of collection hierarchies that appeared, etc. may be stored in this evaluation criteria information section 347. In addition, as described in the collection trend analysis process, the evaluation criteria information section 347 may store information such as the number of searches and price information obtained from the information supply means 8, and appearance position information obtained based on information presented by the information supply means 8, as well as collection conditions 1 to 4 when applying these evaluation criteria information. The rank information section 348 is an area in which rankings set by information such as evaluation value information set in the extraction process are stored. This rank information is information that indicates the importance (weight) of the collected related words, and the higher the rank, the more the keyword is likely to match the trends and interests of the browsing user.

[0039] <Keyword collection process> Fig. 5 shows an example of keyword collection processing. The processing contents and processing procedures shown in Fig. 5 are merely examples, and the technology of the present disclosure is not limited to such a configuration. This keyword collection process is an example of a keyword collection method or a keyword collection program of the present disclosure, and is divided into, for example, a related word collection process F1 and a keyword extraction process F2. The information processing device 4 connects to the user terminal 6 through the communication function unit 10 (S101), acquires collection conditions, and sets the collection conditions in the information collecting unit 12 (S102). The communication function unit 10 connects to an information supplying means 8 capable of collecting keywords under the set collection conditions (S103). The information processing device 4 may, for example, select a pre-set information supplying means 8 to collect keywords, or may access the information supplying means 8 based on address information such as a search service or an AI information supplying service acquired from the user terminal 6. When using the information supplying means 8 designated by the user terminal 6, the information collecting unit 12 may perform a process of determining whether or not keyword collection under the designated collection conditions is executable.

[0040] When the communication function unit 10 of the information processing device 4 acquires a theme word through the user terminal 6 (S104), the theme word is input from the information collecting unit 12 to the information supplying means 8, and a collection process of related words is executed (S105). The storage unit 14 records information including the collected related words, the keywords used in the collection process, other date and time information, and the identification information of the information supplying means 8 (S106). The storage unit 14 has, for example, the processing area 42 (FIG. 3) described above. The information processing device 4 checks, for example, the number of collection processes and the number of occurrences of overlapping related words as set conditions in the collection process of related words, and judges whether the set conditions are satisfied (S107). The information processing device 4 repeatedly executes the collection process of related words (S105, S106) until the set conditions are satisfied (NO in S107), and when the set conditions are satisfied (YES in S107), the information processing device 4 proceeds to the keyword extraction process F2.

[0041] The information processing unit 16 counts the number of occurrences of the collected related words, selects and stores overlapping related words in the extraction area 48, and also sets an evaluation value for each related word using the information on the number of occurrences and collection hierarchy, and performs analysis processing including ranking (S108). The information processing unit 16 then extracts one or more related words stored in the extraction area 48 based on extraction conditions such as the number of occurrences and rank order, and generates extracted word information (S109). This extracted word information may include evaluation values ​​such as theme words and number of occurrences, and identification information of the information supply means used for collection, in addition to the extracted related words.

[0042] The information processing device 4 presents the generated extracted word information to the user terminal 6 that provided the theme word (S110). The user who has acquired the extracted word information may use the extracted related words, for example, to create content such as articles or videos that are in line with the contents indicated by the related words, or may use the extracted related words for the purpose of so-called SEO, which is a search optimization measure by storing the related words in an area that is part of a web page or content and is not displayed on the screen.

[0043] <Advantages of the First Embodiment> According to this configuration, any one of the following effects can be expected. (1) It is possible to predict keywords that reflect the needs, interests, preferences, and trends of website visitors. (2) By understanding the specific keywords that users are interested in, or the content that is highly related to those keywords, it becomes possible to create and provide content that meets the needs of users. (3) It is possible to create content using keywords that meet the needs of users, thereby improving the quality evaluation of content and websites and increasing their usefulness and satisfaction. (4) By extracting keywords that match the preferences and trends of users, content creators can be provided with information to improve search adaptability. (5) When creating content, the workload of researching trends can be reduced.

[0044] Second Embodiment Fig. 6 shows an example of the configuration of a keyword collection system according to the second embodiment. The configuration shown in Fig. 6 is just an example, and the technology of the present disclosure is not limited to such content. This keyword collection system 2 shows a case where a process of collecting related words is executed by combining two or more different collection conditions for a specific theme word. That is, in this keyword collection process, for example, for the theme word and previously collected related words, keywords used to narrow down the previous search results are collected as collection condition 1, and words used on websites displayed in the search results are collected as keywords as collection condition 2. 6, when the information processing device 4 acquires two or more collection conditions for which related words are desired to be collected along with a specific theme word from the user terminal 6, it performs a collection process of related words from the information supply means 8 for each collection condition. The information processing device 4 may, for example, form related word DBs 34-1, 34-2, ... 34-N for each collection condition 1, 2, ... N in the storage unit 14, or may form a storage area for the related words collected for each collection condition 1, 2, ... N in a common related word DB.

[0045] <Processing performed by the information processing device> 7 shows a function for collecting related words and generating extracted word information. The configuration shown in FIG. 7 is an example, and the technology of the present disclosure is not limited to such a configuration. The information processing device 4 generates collection list information for each collection condition acquired in the processing area 42, as shown in Fig. 7 for example. Although omitted in Fig. 7, this collection list information may be composed of, for example, a word information section 44 and a collection result section 46. The information processing device 4 executes a process of collecting related words for each collection condition that has been set. At this time, the information processing device 4 may, for example, access a common information supply means 8 for the collection conditions to collect keywords, or, if the information supply means 8 does not match the collection conditions, may access another information supply means 8 such as a search service site or an AI information provision service that matches the collection conditions.

[0046] In this related word collection process, for example, as the first information collection process I, related words are collected for each collection condition 1, 2, ...N for the set theme word, and the collected multiple related words A, B, ...X are stored in the respective collection result sections. In the next-level collection process II, the information processing device 4 collects related words from the information supplying means 8 using each of the related words collected in the previous level as a search word, and generates collection list information. The information processing device 4 repeatedly executes the collection process of the next related words by using the related words collected in the previous collection process. That is, in this collection process, a number of collection result sections 46 is generated which is the product of the number of collection conditions, the number of collection processes, and the number of collected words. The information processing device 4 may execute the collection process according to set conditions such as a preset collection count condition, the number of obtained related words, or a threshold value set for the number of occurrences of overlapping related words, which will be described later.

[0047] Next, the information processing device 4 performs an analysis process of the collection tendency, for example, by comparing all the collection result sections 46, grouping the related words that appear in duplicate, and counting the number of occurrences. The information processing section 16 generates, for example, an extraction area 48, and stores the duplicate words M1, M2, etc. The information processing section 16 performs an evaluation process for each of the related words stored in the extraction area 48, and stores the evaluation information in the evaluation value information section 52. This evaluation process may be performed, for example, as shown in the first embodiment, by setting an evaluation value based on a common evaluation criterion for keywords that are collected under the same collection conditions and that are duplicated. Furthermore, the information processing section 16 performs an evaluation process based on the evaluation criterion and the evaluation value to be assigned for each collection condition for the related words that are collected under different collection conditions and that are duplicated, and performs the evaluation process based on the evaluation criterion and the evaluation value.

[0048] The weighting of the evaluation criteria and evaluation values ​​is correction information for correcting the differences between the evaluation processes and evaluation targets of collection conditions, for example. When the number of occurrences is used as the evaluation target, the number of occurrences using collection condition 1, which is a keyword used for re-searching, and collection condition 2, which is a term used in a website, differ greatly, so that it may be difficult to properly determine the total number of occurrences by a simple addition process of the evaluation values. Therefore, in the evaluation process, for example, the counting unit for collection conditions with a large number of occurrences, or the evaluation of the number of occurrences for collection conditions with a small number of occurrences, may be adjusted. In this adjustment of the evaluation of the number of occurrences, for example, when a collection process is performed by combining a collection condition with a large number of occurrences and a collection condition with a small number of occurrences, the setting unit of the evaluation value may be different for each collection condition. That is, for collection conditions with a large number of occurrences, the evaluation value for the number of occurrences in one layer may be made small, or conversely, for collection conditions with a small number of occurrences, the evaluation value for the number of occurrences in one layer may be made large. In this way, by adjusting the evaluation criteria based on the number of occurrences, it is possible to prevent the evaluation value of related words from being set based only on the results of collection conditions that have a high number of occurrences. In adjusting the evaluation, for example, an adjustment method may be set for each of collection conditions 1 to 4 set for collecting related words, or an adjustment method may be set according to a combination of collection conditions.

[0049] <Keyword collection process> Fig. 8 shows an example of keyword collection processing. The processing contents and processing procedures shown in Fig. 8 are merely examples, and the technology of the present disclosure is not limited to such configuration. This keyword collection processing is an example of the keyword collection method or keyword collection program of the present disclosure. When the information processing device 4 acquires a plurality of collection conditions and theme words from the user terminal 6, it uses this information to perform a process of collecting related words from the information supply means 8 (S201) and sets the collection conditions (S202). This process of collecting related words and the setting of the collection conditions can be performed by, for example, executing the same processes as S101 to S107 in Fig. 5 for each collection condition that has been set, and detailed explanations will be omitted.

[0050] The information processing unit 16 executes an analysis process of the collection tendency of related words for each collection condition as a keyword extraction process (S203). In the analysis process, information used for evaluating the related word extraction process, such as counting the number of occurrences, is set. Next, the information processing unit 16 performs a tabulation process of each analysis result (S204). This tabulation process includes, for example, as described above, an adjustment process for differences in the tabulation numbers based on differences in collection conditions, as well as storing duplicate related words in the extraction area 48, setting evaluation values ​​for each related word, ranking, and the like. Then, the information processing unit 16 extracts one or more related words stored in the extraction area 48 based on extraction conditions such as the number of occurrences or rank order, generates extracted word information (S205), and presents it to the user terminal 6 that provided the theme word (S206).

[0051] <Effects of the second embodiment> According to this configuration, any one of the following effects can be expected. (1) The same effects as in the first embodiment can be obtained. (2) Related words are collected based on different collection conditions, and based on those collection trends, keywords that reflect the information needs, preferences, and interests of users can be inferred. (3) By collecting and storing information from different perspectives, or by combining and analyzing keywords predicted and presented by information supply means such as search services, and extracting evaluated keywords, the content and direction of the information desired by the viewing user can be improved.

[0052] [Example] Next, an example of collection of related words from the information supply means 8 and an example of analysis processing for the collected related words will be described. Fig. 9 shows an example of collection processing for related words according to the embodiment. The information processing device 4, for example as an information supply means 8, inputs a theme word or previously collected related words to a search service site or a service that uses so-called interactive AI to output answers to input information, and acquires the related words.

[0053] The keyword collection process shown in FIG. 9 illustrates a case where the theme word is set to "smartphone" and the collection condition is set to "research keyword" (registered trademark) or "suggested keyword." As a result, in the collection process of the Ith hierarchical level, for example, for "smartphone", 1) "Mobile device", 2) "iOS", 3) "Android (registered trademark)" 4) "Applications" 5) "Smartwatch" 6) Mobile payments 7) "Mobile battery" Related words such as ... are presented. Next, for the second hierarchical level collection process, for example, if the search word is "mobile device," a) "Smartphone" b) "Tablet" c) "Laptop" d) "Mobile Wi-Fi" e) "Mobile Router" f) "Earphones and headphones" g) "Portable speaker" h) "Smartwatch" Related words such as ... are presented.

[0054] Comparing the related words presented here, the related word "smartwatch" appears twice in hierarchical levels I and II. This indicates that if the collection condition is "research keyword," for example, after searching for "smartphone," the search results are limited to the keyword "smartwatch," and that the search results for "mobile terminal" related to "smartphone" are limited to the keyword "smartwatch." In other words, it can be inferred that the information needs and preferences that browsing users are trying to obtain are concentrated around the keyword "smartwatch." Also, if the collection condition is "suggested keywords," it shows that "smartwatch" overlaps with the keyword "smartphone" as a keyword that browsing users are likely to search in combination with the search word, based on prediction processing from search services and AI, etc. From this result, as with the "research keyword," it can be inferred that browsing users are interested in "smartwatch," or that the potential interest of many browsing users is growing.

[0055] Therefore, the information processing device 4 repeatedly performs the process of collecting related words, and as a result of setting related keywords as search words as a collection tendency, if a specific related word reappears and overlaps, the information processing device 4 extracts the related word.

[0056] As another embodiment, a process for collecting related words when "competitive keywords" are set as a collection condition will be described. When the information processing unit 16 performs a search process using the theme word "used domain" as the search word for the search service that is the information supply means 8, the information processing unit 16 causes the display unit 26 to display the URLs (addresses) of multiple websites on the search result screen. On this search result screen, the URLs are listed in order of rank based on the evaluation set by the search service for the number of accesses by browsing users, the page structure, and the content. Furthermore, the information processing unit 16 sets keywords including or related to "used domain" as "competitive keywords" and collects information such as the number of URLs appearing in the search results and the number of visits by browsing users to the site within a specified period of time. The information processing unit 16 then analyzes the number of visits and the number of URLs as evaluation values, and extracts predetermined keywords from the "competitive keywords" based on the evaluation values ​​as extracted word information. [Modifications]

[0057] The features and modifications of the above-described embodiment will be listed below.

[0058] (1) In the above embodiment, the information processing device 4 collects related words and generates extracted word information regardless of the type information of the user terminal 6 that requests keyword collection or the type information of the terminal specified by the user, but this is not limited to the above. The information processing device 4 may vary the content of the related words to be collected depending on the type of the user terminal 6, such as whether it is a mobile device or a PC, or based on the user's specification of the type information of the terminal. In other words, since the preferences of the viewing user, or the types and lengths of keywords entered in the search process, differ depending on whether the content or website created by the user is viewed on a PC or a similar terminal, or on a mobile terminal, the keyword collection system 2 can differ in the content of the extracted words depending on the type of terminal.

[0059] (2) In the above embodiment, an example was given in which related words were collected from one information supply means 8 in response to a keyword collection condition, and an example was given in which related words were collected under a plurality of different collection conditions, but the present invention is not limited to this. The information processing device 4 may collect related words from a plurality of different search services using the same theme word and common collection conditions, for example, and generate extracted word information by analyzing the collection tendency. In this case, the evaluation value may be calculated by setting a weight on the collection results for each information supply means 8 based on the user's settings or information such as the number of users of the search service. Specifically, a large evaluation value may be set for related words collected from a search service with a large number of users. This makes it easier to reflect the preferences, trends, and information needs of browsing users, which means a large number of users, and improves the accuracy of extracting keywords that are easier for users to search.

[0060] As described above, the most preferred embodiment and examples of the technology of the present disclosure have been described. The technology of the present disclosure is not limited to the above description. Various modifications and changes are possible for those skilled in the art based on the gist of the invention described in the claims or disclosed in the form for carrying out the invention. It goes without saying that such modifications and changes are included in the technical scope of the present disclosure. [Industrial Applicability]

[0061] According to the keyword collection process disclosed herein, by repeatedly collecting keywords from information supply means such as search services and analyzing the collection trends of keywords that appear repeatedly, it is possible to understand themes and fields that are of great interest to viewing users, and to create content that is highly search-compatible and meets the needs of viewing users, which is useful. [Explanation of symbols]

[0062] 2. Keyword collection system 4. Information processing equipment 6, 6-1, 6-2, ... 6-N User terminal 8 Information supply means 10 Communication function section 12 Information Gathering Department 14 Storage area 16 Information Processing Section 20 processors 22 Memory section 24 Communications Department 26 Display section 28 Timer 30 RAM 32 Data Memory 34, 34-1, 34-2, 34-N Related Words DB 40 Theme Words 42 Processing Area 44 Word Information Department 46 Collection Results Section 48 Extraction area 50 Extracted word information section 52 Evaluation value information section 341 Search Words 342 Related Words 343 Date and time section 344 Identification Information Section 345 Collection Conditions 346 Number of occurrences 347 Evaluation Criteria Information Department 348 Rank Information Department

Claims

1. 1. A computer-implemented method for collecting keywords, comprising: a step of the communication function unit accessing, via a network, an information supplying means that supplies related words for a specific keyword; An information collecting unit acquires theme words from a user terminal; a step of the information collecting unit collecting related words based on the theme word and related words based on the previously collected related words from the information supply means according to a collection condition set; storing the collected related words in a storage unit; an information processing unit analyzing a collection tendency of the related words and generating extracted word information including the related words that meet an extraction condition by using the analysis result; an information presenting unit presenting the extracted word information on the user terminal; Including keyword collection methods.

2. 2. The keyword collection method according to claim 1, further comprising a step of: counting the number of occurrences of related words in the storage unit, ranking the related words according to the number of occurrences to analyze collection trends, and extracting related words that satisfy a threshold value for the number of occurrences or the ranking set as the extraction condition to generate the extracted word information.

3. The information collecting unit extracts evaluation criteria information including the related words as well as any one or more of the number of times the related words are used, presentation location information, use state information, and value information from the presentation information from the information supply means based on the collection conditions; the information processing unit compares the evaluation criterion information for each of the related words and analyzes the collection tendency based on the comparison result; The keyword collecting method according to claim 1 or 2, further comprising:

4. The keyword collection method according to claim 1 or 2, further comprising a step of: the information collection unit counting the number of times related words are collected, or obtaining the number of occurrences of related words counted by the information processing unit, and repeating this process until the number of collections or the number of occurrences satisfies a set condition, thereby collecting related words.

5. The information collecting unit acquires at least collection date and time information and identification information of the information supply means together with the related words collected from the information supply means, and stores them in the storage unit; the storage unit generates a database in which the collection date and time information and the identification information are associated with the acquired related words; The keyword collecting method according to claim 1 or 2, further comprising:

6. a communication function unit for accessing, via a network, an information supplying means for supplying related words for a specific keyword; an information collection unit that acquires a theme word from a user terminal and collects related words based on the theme word and related words based on previously collected related words from the information supply means according to a collection condition that has been set; A storage unit for storing the collected related words; an information processing unit that analyzes the collection tendency of the related words and generates extracted word information including the related words that meet extraction conditions by using the analysis result; an information presenting unit that presents the extracted word information to the user terminal; An information processing device comprising:

7. 7. The information processing device according to claim 6, wherein the information processing unit counts the number of occurrences of related words in the storage unit, ranks the number of occurrences to analyze collection trends, and extracts related words that satisfy a threshold value for the number of occurrences or the rank set as the extraction condition to generate the extracted word information.

8. the information collecting unit extracts evaluation criteria information including, together with the related words, any one or more of the number of times the related words are used, presentation location information, use state information, and value information from the presentation information from the information supply means based on the collection conditions; the information processing unit compares the evaluation criterion information for each of the related words and analyzes the collection tendency based on the comparison result; The information processing device according to claim 6 or 7, further comprising:

9. The information processing device according to claim 6 or 7, further comprising: the information collection unit counting the number of times related words are collected, or acquiring the number of occurrences of related words counted by the information processing unit, and repeating this process to collect related words until the number of collections or the number of occurrences satisfies a set condition.

10. The information collecting unit acquires at least collection date and time information and identification information of the information supply means together with the related words collected from the information supply means, and stores them in the storage unit; The information processing apparatus according to claim 6 , further comprising generating a database in which the collection date and time information and the identification information are associated with the acquired related words.

11. 8. The information processing device according to claim 6, wherein the information supply means includes any one or more of a website providing an information search service, an information provision service site using AI, and a database having an information search function.

12. The information processing device according to claim 11, characterized in that the information collection unit collects the related words using any one or more of the following collection conditions: words determined from search records accumulated by the information supply means, or words determined by a prediction process based on the search records, words used on website pages searched for using the theme words or the collected related words, words used to display advertisements included in a search result page using the theme words or the collected related words, and words included in responses from an AI capable of written dialogue in response to input characters.

13. A keyword collection program implemented by a computer, A function of accessing an information supplying means for supplying related words for a specific keyword via a network, and collecting related words based on the theme word acquired through the user terminal and related words based on the previously collected related words from the information supplying means according to the collection conditions set; A function of analyzing the collection tendency of the related words and generating extracted word information including the related words that meet the extraction conditions using the analysis result; a function of presenting the extracted word information to the user terminal; A keyword collection program that causes a program to execute the following.

14. The keyword collection program according to claim 13, further comprising: counting the number of occurrences of the collected related words, ranking them according to the number of occurrences, analyzing the collection trend, and extracting related words that satisfy a threshold value for the number of occurrences or the ranking set as the extraction condition, to generate the extracted word information.

15. a function of extracting evaluation criteria information including, together with the related words, any one or more of the number of times the related words have been used, presentation location information, use state information, and value information from the presentation information from the information supply means based on the collection conditions; a function of comparing the evaluation criteria information for each of the related words and analyzing the collection tendency based on the comparison result; The keyword collection program according to claim 13 or 14, comprising:

Images