Automatic information content generation system and method
By automatically collecting and processing network data, extracting keywords and building a map, and combining the generation template to automatically generate information content, the problems of low efficiency and low quality of traditional information content generation are solved, and efficient and high-quality automatic generation of information content is achieved.
Patent Information
- Application Number
- CN202411608954.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2025-04-22
AI Technical Summary
Traditional information content generation is inefficient and low in quality, especially in massive network data, making it difficult for users to obtain the required data.
By setting data sources and collection rules, the original information content data is automatically collected and processed, keywords are extracted, keyword maps are constructed, information content data is automatically generated by combining the generation template, and scores are calculated and generated based on structural similarity, time complexity and spatial complexity.
It realizes efficient and high-quality automatic generation of information content, improves user experience, and ensures the quality of generated information content.
Smart Images
Figure CN119862265A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of information generation, and in particular to a system and method for automatically generating information content. Background Art
[0002] With the continuous development of network technology, network data is becoming more and more massive, and the sources of network data are different, making it increasingly difficult for users to obtain data; traditional information content generation is based on keywords provided by users, and the amount of generated data is too large, resulting in low generation efficiency, which seriously affects the user experience; in addition, generation based on keywords provided by users usually generates all data containing the keywords, resulting in low generation quality.
[0003] Therefore, the present invention provides a system and method for automatically generating information content. Summary of the invention
[0004] The present invention provides an automatic generation system for information content. By setting a data source and data collection rules, the original information content data is automatically collected and data processing is performed; keywords are extracted according to the original information content data after data processing, and the relevance and weight of the keywords are determined to construct a keyword map; the automatic generation requirements for information content are obtained, an automatic generation template is set, the information content data is automatically generated in combination with the keyword spectrum, and the generation score of the information content data is calculated according to the structural similarity, time complexity and space complexity. When the generation score is not lower than the preset score, it is determined that the automatic generation of the information content data is valid; the information content data determined to be automatically generated effectively is displayed in real time and visualized; and efficient and high-quality automatic generation of information content is achieved.
[0005] The present invention provides an information content automatic generation system, comprising: Data collection module, used to set data sources and data collection rules, automatically collect original information content data and perform data processing; The keyword map module is used to extract keywords based on the original information content data after data processing, determine the relevance and weight of the keywords, and construct a keyword map; A search and generation module is used to obtain the demand for automatic generation of information content, set an automatic generation template, automatically generate information content data in combination with keyword spectra, calculate the generation score of the information content data according to the structural similarity, time complexity and space complexity, and when the generation score is not lower than the preset score, it is determined that the automatic generation of the information content data is effective; The information display module is used to automatically generate effective information content data for real-time visual display.
[0006] According to the present invention, an information content automatic generation system, a data acquisition module, includes: A collection setting unit is used to set the data source type, the number of data sources and the data collection rules to automatically collect the original information content data, wherein the data source types include: database data source, file system data source, API interface data source, and the data collection rules include: data collection tool rules, data collection frequency rules and data collection scope rules; The data processing unit is used to perform data cleaning, data conversion and data storage processing on the original information content data.
[0007] According to the present invention, a system for automatically generating information content, a keyword map module, includes: A keyword extraction unit, used to extract keywords from the original information content data after data processing according to a preset keyword extraction strategy, and obtain keyword data of the original information content data; A keyword relevance unit, for determining the relevance of the keyword data based on the frequency of occurrence of the keyword data in the original information content data and the similarity between the keyword data and another keyword data; A keyword weight unit, used to construct a weight quantification index of keyword data and determine the weight of keyword data, wherein the weight quantification index includes: a word frequency-inverse word frequency index and a data occurrence frequency index; A keyword graph unit, used to establish a keyword graph, use keyword data as graph nodes, establish graph connection lines according to the relevance of the keyword data, connect corresponding graph nodes, and represent the connection strength of the graph nodes according to the relevance of the keyword data; Standard graph nodes and corresponding standard weights are set, and the node strength of the graph nodes is represented according to the weight ratio of the keyword data to the standard weight.
[0008] According to an information content automatic generation system provided by the present invention, the retrieval generation module includes: A generation requirement unit, used to obtain information content automatic generation requirements and simplify the extraction of key generation requirements, wherein the key generation requirements include: key theme generation requirements, key content generation requirements and key format generation requirements; The template generation unit is used to automatically generate requirements according to the information content, set the automatically generated template, and determine the structure and format of the automatically generated template.
[0009] According to an information content automatic generation system provided by the present invention, the retrieval generation module includes: A graph selection unit, used to select keywords with preset relevance and preset quantity from the keyword spectrum according to the automatic generation requirement of information content, and record them as automatically generated keyword data; An automatic generation unit, used to automatically generate information content data according to the automatic generation of keyword data and the automatic generation template; A structural similarity unit, used to determine the structural similarity between the information content data and the automatically generated template according to the relevance and weight of the keyword data of the information content data; A time complexity unit, used to obtain the generation time of the automatically generated information content data and determine the time complexity of the automatically generated information content data; A space complexity unit, for determining the space complexity of the automatically generated information content data according to the storage space required for the automatically generated information content data; A scoring generation unit, configured to quantitatively calculate a generation score of the information content data according to a structural similarity between the information content data and the automatically generated template, a time complexity of the automatically generated template, and a space complexity of the automatically generated template; ;in, A generated score representing information content data; Indicates the information content data The weight of keyword data; Indicates The number of times a keyword data appears in the information content data; The number of words representing the information content data; Indicates that when the original information content data The document appears When there is keyword data, output 1, otherwise, output 0; Indicates the original information content data The document appears Keyword data; Indicates the information content data A data vector of keyword data; Indicates the information content data The data vector of keyword data in the automatically generated template; The time complexity of representing information content data; Indicates the information content data The storage capacity of keywords; represents the influence weight of the structural similarity on the generated score; Indicates the influence weight of the time complexity and space complexity on the generated score; The number of keyword data representing information content data; The number of documents representing the original information content data; When the generation score of the information content data is not lower than the preset score, it is determined that the automatic generation of the information content data is effective.
[0010] According to an information content automatic generation system provided by the present invention, the information display module includes: An information display review unit is used to review the information content data that is automatically generated and is valid, and when the information content data meets the information display rules, the information display review is determined to be passed; An information display optimization unit is used to perform text-by-text relevance analysis on the information content data that has passed the information display review. If there is no relevance between adjacent texts, the adjacent texts without relevance are located and contextual supplementary optimization is performed; The information display unit is used to display the information content data after the audit optimization in real time in a preset display form, wherein the preset display form includes: chart form and text form.
[0011] According to the present invention, a system for automatically generating information content further includes: The user interaction module is used to provide a user interaction interface and generate and display information content based on the keywords selected by the user.
[0012] The present invention provides a method for automatically generating information content, comprising: Step 1: Set the data source and data collection rules, automatically collect the original information content data and perform data processing; Step 2: Extract keywords based on the original information content data after data processing, determine the relevance and weight of the keywords, and build a keyword map; Step 3: Obtain the demand for automatic generation of information content, set the automatic generation template, automatically generate information content data in combination with the keyword spectrum, calculate the generation score of the information content data according to the structural similarity, time complexity and space complexity, and when the generation score is not lower than the preset score, determine that the automatic generation of the information content data is effective; Step 4: Automatically generate valid information content data for real-time visual display.
[0013] Compared with the prior art, the present invention has the following beneficial effects: By setting the data source and data collection rules, the original information content data is automatically collected and processed; keywords are extracted based on the original information content data after data processing, and the relevance and weight of the keywords are determined to build a keyword map; the automatic generation requirements of information content are obtained, and the automatic generation template is set. The information content data is automatically generated in combination with the keyword spectrum, and the generation score of the information content data is calculated according to the structural similarity, time complexity and space complexity. When the generation score is not lower than the preset score, the automatic generation of the information content data is determined to be valid; the information content data determined to be effectively automatically generated is displayed in real time and visualized; efficient and high-quality automatic generation of information content is achieved.
[0014] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.
[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural diagram of a system for automatically generating information content provided by an embodiment of the present invention; Figure 2 It is a flowchart of a method for automatically generating information content provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.
[0018] Embodiment 1: The embodiment of the present invention provides a system for automatically generating information content, such as Figure 1 As shown, including: Data collection module, used to set data sources and data collection rules, automatically collect original information content data and perform data processing; The keyword map module is used to extract keywords based on the original information content data after data processing, determine the relevance and weight of the keywords, and construct a keyword map; A search and generation module is used to obtain the demand for automatic generation of information content, set an automatic generation template, automatically generate information content data in combination with keyword spectra, calculate the generation score of the information content data according to the structural similarity, time complexity and space complexity, and when the generation score is not lower than the preset score, it is determined that the automatic generation of the information content data is effective; The information display module is used to automatically generate effective information content data for real-time visual display.
[0019] In this embodiment, the data source is set, that is, the original data source for automatically generating the information content is set, such as a database data source, a file system data source, and an API interface data source.
[0020] In this embodiment, the data collection rules include, for example, the rule of collecting a1 data but not a2 data; collection frequency rules and data collection scope rules.
[0021] In this embodiment, the keyword graph refers to a graph constructed according to the relevance and weight of keywords, and is used to represent the relationship and strength between keywords.
[0022] In this embodiment, the information content automatic generation requirements refer to requirements obtained by simplifying and extracting information provided by the user, such as theme generation requirements, content generation requirements, and format generation requirements.
[0023] In this embodiment, the automatic generation template is used to set the format, structure, etc. of the subsequent automatic generation of information content.
[0024] In this embodiment, the structural similarity refers to the structural similarity between the information content data and the automatically generated template determined according to the relevance and weight of the keyword data of the information content data.
[0025] In this embodiment, the time complexity refers to the generation time of automatically generating information content data, that is, the time required to generate the information content data.
[0026] In this embodiment, the space complexity is obtained according to the storage space required for automatically generating the information content data, that is, the storage space required for generating the information content data.
[0027] The working principle and beneficial effects of the above technical solution are: by setting the data source and data collection rules, the original information content data is automatically collected and data processing is performed; keywords are extracted according to the original information content data after data processing, and the relevance and weight of the keywords are determined to construct a keyword map; the automatic generation requirements of information content are obtained, the automatic generation template is set, the information content data is automatically generated in combination with the keyword spectrum, and the generation score of the information content data is calculated according to the structural similarity, time complexity and space complexity. When the generation score is not lower than the preset score, it is determined that the automatic generation of the information content data is valid; the information content data determined to be automatically generated effectively is displayed in real time and visualized; efficient and high-quality automatic generation of information content is achieved.
[0028] Embodiment 2: The embodiment of the present invention provides an information content automatic generation system, a data acquisition module, including: A collection setting unit is used to set the data source type, the number of data sources and the data collection rules to automatically collect the original information content data, wherein the data source types include: database data source, file system data source, API interface data source, and the data collection rules include: data collection tool rules, data collection frequency rules and data collection scope rules; The data processing unit is used to perform data cleaning, data conversion and data storage processing on the original information content data.
[0029] In this embodiment, the data collection tool is, for example, a web crawler or an API call.
[0030] In this embodiment, the data storage process is to classify and store the original information content data according to its data source.
[0031] The working principle and beneficial effects of the above technical solution are: setting data sources and data collection rules, automatically collecting original information content data and performing data processing, laying the original information content data foundation for subsequent automatic generation of information content.
[0032] Embodiment 3: The embodiment of the present invention provides an information content automatic generation system, a keyword map module, including: A keyword extraction unit, used to extract keywords from the original information content data after data processing according to a preset keyword extraction strategy, and obtain keyword data of the original information content data; A keyword relevance unit, for determining the relevance of the keyword data based on the frequency of occurrence of the keyword data in the original information content data and the similarity between the keyword data and another keyword data; A keyword weight unit, used to construct a weight quantification index of keyword data and determine the weight of keyword data, wherein the weight quantification index includes: a word frequency-inverse word frequency index and a data occurrence frequency index; A keyword graph unit, used to establish a keyword graph, use keyword data as graph nodes, establish graph connection lines according to the relevance of the keyword data, connect corresponding graph nodes, and represent the connection strength of the graph nodes according to the relevance of the keyword data; Standard graph nodes and corresponding standard weights are set, and the node strength of the graph nodes is represented according to the weight ratio of the keyword data to the standard weight.
[0033] In this embodiment, the relevance of keyword data refers to the frequency of occurrence of keyword data in the original information content data and the similarity between keyword data and another keyword data, which is used to determine the relevance of keyword data to the original information content data and the relevance between the removed keyword data and the keyword data.
[0034] In this embodiment, the graph connection line is used to represent the correlation of keyword data in the keyword graph. For example, the graph connection line a1 connects the graph node c1 corresponding to the keyword data b1 with the graph node c2 corresponding to the keyword data b2, which means that there is a correlation between the keyword data b1 and the keyword data b2.
[0035] In this embodiment, the connection strength of the graph nodes is represented according to the correlation of the keyword data. For example, the connection strength is calibrated to d1. That is, when the correlation between the keyword data is d1, the connection is performed according to the calibrated connection strength. When the correlation between the keyword data is d2, the connection is performed according to the ratio of the correlation to the calibrated connection strength.
[0036] In this embodiment, the standard graph node refers to a reference node used to represent the node strength of other graph nodes.
[0037] In this embodiment, standard graph nodes and corresponding standard weights are set, and the node strength of the graph nodes is represented according to the weight ratio of the keyword data to the standard weight. For example, the standard weight corresponding to the standard graph node is set, the size of the standard graph node is recorded, and the size of the graph node corresponding to the keyword data is adjusted according to the weight ratio. The larger the size of the graph node corresponding to the keyword data, the higher the weight of the keyword data.
[0038] The working principle and beneficial effect of the above technical solution are: by extracting keywords based on the original information content data after data processing, determining the relevance and weight of the keywords, and constructing a keyword map, it is beneficial to improve the generation quality of subsequent automatic generation of information content.
[0039] Embodiment 4: The embodiment of the present invention provides an information content automatic generation system, a retrieval generation module, including: A generation requirement unit, used to obtain information content automatic generation requirements and simplify the extraction of key generation requirements, wherein the key generation requirements include: key theme generation requirements, key content generation requirements and key format generation requirements; The template generation unit is used to automatically generate requirements according to the information content, set the automatically generated template, and determine the structure and format of the automatically generated template.
[0040] In this embodiment, simplifying the extraction of key generation requirements refers to simplifying the analysis of information content automatic generation requirements, which is used to quickly determine the information content automatic generation requirements. For example, key topic generation requirements, key content generation requirements and key format generation requirements are extracted from the information content automatic generation requirements, which is used to solve the problem of vague and numerous information content automatic generation requirements.
[0041] The working principle and beneficial effects of the above technical solution are: by obtaining the automatic generation requirements of information content, simplifying the extraction of key generation requirements and setting automatic generation templates, it is beneficial to improve the efficiency of subsequent automatic generation of information content.
[0042] Embodiment 5: The embodiment of the present invention provides an information content automatic generation system, a retrieval generation module, including: A graph selection unit, used to select keywords with preset relevance and preset quantity from the keyword spectrum according to the automatic generation requirement of information content, and record them as automatically generated keyword data; An automatic generation unit, used to automatically generate information content data according to the automatic generation of keyword data and the automatic generation template; A structural similarity unit, used to determine the structural similarity between the information content data and the automatically generated template according to the relevance and weight of the keyword data of the information content data; A time complexity unit, used to obtain the generation time of the automatically generated information content data and determine the time complexity of the automatically generated information content data; A space complexity unit, for determining the space complexity of the automatically generated information content data according to the storage space required for the automatically generated information content data; A scoring generation unit, configured to quantitatively calculate a generation score of the information content data according to a structural similarity between the information content data and the automatically generated template, a time complexity of the automatically generated template, and a space complexity of the automatically generated template; ;in, A generated score representing information content data; Indicates the information content data The weight of keyword data; Indicates The number of times a keyword data appears in the information content data; The number of words representing the information content data; Indicates that when the original information content data The document appears When there is keyword data, output 1, otherwise, output 0; Indicates the original information content data The document appears Keyword data; Indicates the information content data A data vector of keyword data; Indicates the information content data The data vector of keyword data in the automatically generated template; The time complexity of representing information content data; Indicates the information content data The storage capacity of keywords; represents the influence weight of the structural similarity on the generated score; Indicates the influence weight of the time complexity and space complexity on the generated score; The number of keyword data representing information content data; The number of documents representing the original information content data; When the generation score of the information content data is not lower than the preset score, it is determined that the automatic generation of the information content data is effective.
[0043] In this embodiment, automatically generated keyword data refers to automatically generated keyword data, that is, automatically generating information content based on the automatically generated keyword data, so as to simplify the keyword data and improve generation efficiency.
[0044] In this embodiment, keywords with preset relevance and a preset number are selected from the keyword spectrum according to the requirement of automatic generation of information content, that is, when the relevance of keyword data is not higher than the preset relevance, the corresponding keyword data is eliminated.
[0045] In this embodiment, a preset number of keywords are selected to ensure the quality and efficiency of automatic generation of information content. For example, if the number of selected keywords is greater than the preset number, the efficiency of subsequent automatic generation of information content will be reduced; if the number of selected keywords is less than the preset number, the quality of subsequent automatic generation of information content will be reduced.
[0046] In this embodiment, the generation score of the information content data is used to quantitatively evaluate the generation quality and generation efficiency of the automatic generation of the information content data.
[0047] In this embodiment, the automatically generated time complexity and the automatically generated space complexity influence each other. Therefore, the influence weight of the time complexity on the generated score is consistent with the influence weight of the space complexity on the generated score. At the same time, the time complexity and the space complexity are superimposed.
[0048] The working principle and beneficial effects of the above technical solution are: by automatically generating information content data in combination with keyword spectra, calculating the generation score of the information content data according to structural similarity, time complexity and space complexity, when the generation score is not lower than the preset score, it is determined that the automatic generation of the information content data is effective, thereby achieving efficient and high-quality automatic generation of information content.
[0049] Embodiment 6: The embodiment of the present invention provides an information content automatic generation system, an information display module, including: An information display review unit is used to review the information content data that is automatically generated and is valid, and when the information content data meets the information display rules, the information display review is determined to be passed; An information display optimization unit is used to perform text-by-text relevance analysis on the information content data that has passed the information display review. If there is no relevance between adjacent texts, the adjacent texts without relevance are located and contextual supplementary optimization is performed; The information display unit is used to display the information content data after the audit optimization in real time in a preset display form, wherein the preset display form includes: chart form and text form.
[0050] In this embodiment, a text-by-text correlation analysis is performed on the information content data that has passed the information display review. If there is no correlation between adjacent texts, the adjacent texts without correlation are located and contextual supplementary optimization is performed to ensure semantic coherence between adjacent texts and, at the same time, ensure that each text is relevant to the keyword data.
[0051] In this embodiment, adjacent texts with no correlation are located and contextual supplementary optimization is performed. For example, if there is no correlation between text a1 and adjacent text a2, the corresponding data of text a1 and text a2 in the original information content data are obtained, and the original information content data adjacent to the corresponding data is extracted to perform keyword data extraction, thereby achieving contextual supplementary optimization.
[0052] In this embodiment, if there is still no correlation between adjacent texts after the context is supplemented and optimized, the text is removed.
[0053] The working principle and beneficial effect of the above technical solution are: by automatically generating effective information content data through judgment and performing real-time visual display, the user experience is effectively ensured.
[0054] Embodiment 7: The embodiment of the present invention provides a system for automatically generating information content, further comprising: The user interaction module is used to provide a user interaction interface and generate and display information content based on the keywords selected by the user.
[0055] In this embodiment, the user interaction interface can support the user to select multiple keywords for combination, and then generate and display information content.
[0056] The working principle and beneficial effects of the above technical solution are: by providing a user interactive interface, information content is generated and displayed according to the keywords selected by the user, which is conducive to further improving the user experience.
[0057] Embodiment 8: The embodiment of the present invention provides a method for automatically generating information content, such as Figure 2 As shown, including: Step 1: Set the data source and data collection rules, automatically collect the original information content data and perform data processing; Step 2: Extract keywords based on the original information content data after data processing, determine the relevance and weight of the keywords, and build a keyword map; Step 3: Obtain the demand for automatic generation of information content, set the automatic generation template, automatically generate information content data in combination with the keyword spectrum, calculate the generation score of the information content data according to the structural similarity, time complexity and space complexity, and when the generation score is not lower than the preset score, determine that the automatic generation of the information content data is effective; Step 4: Automatically generate valid information content data for real-time visual display.
[0058] The working principle and beneficial effects of the above technical solution are: by setting the data source and data collection rules, the original information content data is automatically collected and data processing is performed; keywords are extracted according to the original information content data after data processing, and the relevance and weight of the keywords are determined to construct a keyword map; the automatic generation requirements of information content are obtained, the automatic generation template is set, the information content data is automatically generated in combination with the keyword spectrum, and the generation score of the information content data is calculated according to the structural similarity, time complexity and space complexity. When the generation score is not lower than the preset score, it is determined that the automatic generation of the information content data is valid; the information content data determined to be automatically generated effectively is displayed in real time and visualized; efficient and high-quality automatic generation of information content is achieved.
[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. An automatic information content generation system, characterized in that: include: Data collection module, used to set data sources and data collection rules, automatically collect original information content data and perform data processing; The keyword map module is used to extract keywords based on the original information content data after data processing, determine the relevance and weight of the keywords, and construct a keyword map; A search and generation module is used to obtain the demand for automatic generation of information content, set an automatic generation template, automatically generate information content data in combination with keyword spectra, calculate the generation score of the information content data according to the structural similarity, time complexity and space complexity, and when the generation score is not lower than the preset score, it is determined that the automatic generation of the information content data is effective; The information display module is used to automatically generate effective information content data for real-time visual display.
2. The automatic information content generation system according to claim 1, characterized in that: Data acquisition module, including: A collection setting unit is used to set the data source type, the number of data sources and the data collection rules to automatically collect the original information content data, wherein the data source types include: database data source, file system data source, API interface data source, and the data collection rules include: data collection tool rules, data collection frequency rules and data collection scope rules; The data processing unit is used to perform data cleaning, data conversion and data storage processing on the original information content data.
3. The automatic information content generation system according to claim 1, characterized in that: Keyword map module, including: A keyword extraction unit, used to extract keywords from the original information content data after data processing according to a preset keyword extraction strategy, and obtain keyword data of the original information content data; A keyword relevance unit, for determining the relevance of the keyword data based on the frequency of occurrence of the keyword data in the original information content data and the similarity between the keyword data and another keyword data; A keyword weight unit, used to construct a weight quantification index of keyword data and determine the weight of keyword data, wherein the weight quantification index includes: a word frequency-inverse word frequency index and a data occurrence frequency index; A keyword graph unit, used to establish a keyword graph, use keyword data as graph nodes, establish graph connection lines according to the relevance of the keyword data, connect corresponding graph nodes, and represent the connection strength of the graph nodes according to the relevance of the keyword data; Standard graph nodes and corresponding standard weights are set, and the node strength of the graph nodes is represented according to the weight ratio of the keyword data to the standard weight.
4. The automatic information content generation system according to claim 1, characterized in that: Retrieval generation module, including: A generation requirement unit, used to obtain information content automatic generation requirements and simplify the extraction of key generation requirements, wherein the key generation requirements include: key theme generation requirements, key content generation requirements and key format generation requirements; The template generation unit is used to automatically generate requirements according to the information content, set the automatically generated template, and determine the structure and format of the automatically generated template.
5. The automatic information content generation system according to claim 4, characterized in that: Retrieval generation module, including: A graph selection unit, used to select keywords with preset relevance and preset quantity from the keyword spectrum according to the automatic generation requirement of information content, and record them as automatically generated keyword data; An automatic generation unit, used to automatically generate information content data according to the automatic generation of keyword data and the automatic generation template; A structural similarity unit, used to determine the structural similarity between the information content data and the automatically generated template according to the relevance and weight of the keyword data of the information content data; A time complexity unit, used to obtain the generation time of the automatically generated information content data and determine the time complexity of the automatically generated information content data; A space complexity unit, for determining the space complexity of the automatically generated information content data according to the storage space required for the automatically generated information content data; A scoring generation unit, configured to quantitatively calculate a generation score of the information content data according to a structural similarity between the information content data and the automatically generated template, a time complexity of the automatically generated template, and a space complexity of the automatically generated template; ;in, A generated score representing information content data; Indicates the information content data The weight of keyword data; Indicates The number of times a keyword data appears in the information content data; The number of words representing the information content data; Indicates that when the original information content data The document appears When there is keyword data, output 1, otherwise, output 0; Indicates the original information content data The document appears Keyword data; Indicates the information content data A data vector of keyword data; The information content data The data vector of keyword data in the automatically generated template; The time complexity of representing information content data; Indicates the information content data The storage capacity of keywords; represents the influence weight of the structural similarity on the generated score; Indicates the influence weight of the time complexity and space complexity on the generated score; The number of keyword data representing information content data; The number of documents representing the original information content data; When the generation score of the information content data is not lower than the preset score, it is determined that the automatic generation of the information content data is effective.
6. The automatic information content generation system according to claim 1, characterized in that: Information display module, including: An information display review unit is used to review the information content data that is automatically generated and is valid, and when the information content data meets the information display rules, the information display review is determined to be passed; An information display optimization unit is used to perform text-by-text relevance analysis on the information content data that has passed the information display review. If there is no relevance between adjacent texts, the adjacent texts without relevance are located and contextual supplementary optimization is performed; The information display unit is used to display the information content data after the audit optimization in real time in a preset display form, wherein the preset display form includes: chart form and text form.
7. The automatic information content generation system according to claim 1, characterized in that: Also includes: The user interaction module is used to provide a user interaction interface and generate and display information content based on the keywords selected by the user.
8. A method for automatically generating information content, characterized in that: include: Step 1: Set the data source and data collection rules, automatically collect the original information content data and perform data processing; Step 2: Extract keywords based on the original information content data after data processing, determine the relevance and weight of the keywords, and build a keyword map; Step 3: Obtain the demand for automatic generation of information content, set the automatic generation template, automatically generate information content data in combination with the keyword spectrum, calculate the generation score of the information content data according to the structural similarity, time complexity and space complexity, and when the generation score is not lower than the preset score, determine that the automatic generation of the information content data is effective; Step 4: Automatically generate valid information content data for real-time visual display.