Academic hotspot analysis system

CN120508604APending Publication Date: 2025-08-19SOUTHWEST FORESTRY UNIVERSITY
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Patent Information

Application Number
CN202510546933.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-28
Publication Date
2025-08-19

AI Technical Summary

Technical Problem

Existing bibliometric analysis tools have low accuracy in academic hotspot analysis, long data processing, and low analysis efficiency.

Method used

It provides an academic hotspot analysis system, including a literature data acquisition module, a literature publication trend display module, a keyword trend display module and a publishing unit display module. By obtaining literature data in the target field, it generates a visual literature publication trend interface, a keyword trend interface and a publishing unit heat map to improve analysis efficiency and accuracy.

Benefits of technology

It has realized the intuitive display of academic research hotspots, development trends and regional popularity, improved the efficiency and quality of academic research, and promoted the development of academic research.

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Abstract

The invention relates to an academic hotspot analysis system, which comprises the following steps: acquiring target field information of a plurality of to-be-analyzed literatures in a target field by utilizing a literature data extraction module, acquiring literature data according to the target field information, analyzing a literature publishing trend by utilizing a literature publishing trend display module, and generating a literature publishing trend interface, the method comprises the following steps: realizing visualization of a document publishing trend, analyzing the occurrence time and frequency of each keyword by utilizing a keyword trend display module, and generating a keyword trend interface for displaying a development trend of a research hotspot; the publishing unit display module is used for calling a preset map API to convert publishing unit names in the literature data into latitude and longitude coordinates, and thermodynamic diagrams of all publishing units are generated according to the latitude and longitude coordinates, so that academic research hotspots, development trends and regional popularity can be visually displayed, scientific research layout is facilitated, academic research efficiency and quality are improved, and the method is suitable for popularization and application. And development of academic research is promoted.
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Description

Technical Field

[0001] The present invention relates to the field of academic hotspot analysis, and in particular to an academic hotspot analysis system. Background Art

[0002] Existing technologies usually use bibliometric analysis tools to analyze academic hotspots. Bibliometric analysis tools use mathematical and statistical methods to quantitatively analyze literature data and can be used to reveal research hotspots and development trends in academic fields.

[0003] However, the existing bibliometric analysis tools have weak analytical capabilities and low accuracy in academic hotspot analysis. Moreover, the existing bibliometric analysis tools need to be combined with Excel, Python and visualization software to achieve data visualization, which makes data processing time-consuming and has low analysis efficiency. Summary of the Invention

[0004] The embodiment of the present application provides an academic hotspot analysis system that can improve the efficiency and accuracy of academic hotspot analysis.

[0005] The present application embodiment provides an academic hotspot analysis system, including:

[0006] A document data acquisition module is used to acquire target field information of several documents to be analyzed in a target field, and acquire document data based on the target field information; the document data includes the publication time, keywords and publication unit of the document;

[0007] The document publication trend display module is used to count the number of documents published in each year of the document data and generate a document publication trend interface;

[0008] A keyword trend display module, used to count the time and number of occurrences of each keyword in the document data and generate a keyword trend interface;

[0009] The publishing unit display module is used to call a preset map API based on the document data to convert the publishing unit name in the document data into longitude and latitude coordinates, and generate a publishing unit display interface for each publishing unit of the document data based on the longitude and latitude coordinates.

[0010] In an embodiment of the present application, the target field information of several documents to be analyzed in the target field is obtained by utilizing a document data extraction module, and document data is obtained based on the target field information. The document publication trend is analyzed by utilizing a document publication trend display module and a document publication trend interface is generated to realize visualization of the document publication trend. The time and number of occurrences of each keyword are analyzed by utilizing a keyword trend display module to generate a keyword trend interface for displaying the development trend of research hotspots. The publication unit display module is used to call a preset map API to convert the publication unit name in the document data into longitude and latitude coordinates, and a heat map of each publication unit is generated based on the longitude and latitude coordinates, thereby realizing the display of academic preferences in different regions. The embodiment of the present application can analyze the distribution of document publication trends, keyword trends and publication units and generate a visualization interface, which can intuitively display academic research hotspots, development trends and regional popularity, facilitate scientific research layout, improve academic research efficiency and quality, and promote the development of academic research.

[0011] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A structural diagram of an academic hotspot analysis system in one embodiment of the present invention;

[0013] Figure 2 A schematic diagram of a document publication trend interface in one embodiment of the present invention;

[0014] Figure 3 A schematic diagram of a document publication trend interface in another embodiment of the present invention;

[0015] Figure 4 A schematic diagram of a keyword trend interface according to an embodiment of the present invention;

[0016] Figure 5 This is a schematic diagram of a keyword trend interface according to another embodiment of the present invention;

[0017] Figure 6 This is a schematic diagram of a keyword trend interface according to another embodiment of the present invention;

[0018] Figure 7 A schematic diagram of a publishing unit display interface according to an embodiment of the present invention;

[0019] Figure 8 A schematic diagram of a publishing unit display interface according to another embodiment of the present invention;

[0020] Figure 9 This is a schematic diagram of a publishing unit display interface according to another embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

[0022] It should be clear that the embodiments described are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the embodiments of the present application.

[0023] The terms used in the embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit the embodiments of the present application. The singular forms "a," "the," and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0024] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0025] In addition, in this application, unless otherwise specified, "several" refers to two or more. "And / or" describes a corresponding relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0026] See also Figure 1 , the embodiment of the present application provides an academic hotspot analysis system, including:

[0027] The document data acquisition module 110 is used to acquire target field information of a number of documents to be analyzed in a target field, and acquire document data according to the target field information; the document data includes the publication time, keywords and publication unit of the document;

[0028] The target field is used to determine the field of the document to be analyzed, and the target field can be determined according to user needs. In the embodiment of the present application, the target field can be the field of ecological remote sensing.

[0029] The documents to be analyzed can be documents in the target field, for example, documents on the theme of ecological remote sensing. The documents to be analyzed can be documents obtained by searching related topics from academic paper websites such as HowNet and Wanfang.

[0030] Target fields may include basic document information, author information, publication information, reference list, etc. Target fields can be set according to user needs.

[0031] The target field information can be obtained based on the citation data of the custom field exported from the academic paper website.

[0032] In an embodiment of the present application, the target field information may include "SrcDatabase-source library", "Title-title", "Author-author", "Organ-unit", "Source-document source", "Keyword-keyword", "Summary-abstract", "PubTime-publication time", "Year-year", "CLC-China Library Classification Number", "ISSN-International Standard Serial Number", "URL-website", "DOI-DOI" and other information of the document to be analyzed.

[0033] The document publication trend display module 120 is used to generate a document publication trend interface by counting the number of document publications in each year based on the document data;

[0034] The document publication trend interface can be used to display information such as the total number of documents, coverage years, high-yield years, average annual publication volume, cumulative growth rate, moving average trend, etc. The document publication trend interface can be used to display the documents of each year.

[0035] The keyword trend display module 130 is used to receive document data, count the time and number of occurrences of each keyword in the document data, and generate a keyword trend interface;

[0036] The keyword trend interface is used to display the number of times a keyword appears and the time of its appearance, generate a dynamic evolution map, and intuitively reveal the germination, diffusion, and transfer trajectory of research hotspots in the field, providing a quantitative basis for field trend analysis.

[0037] The publishing unit display module 140 is used to receive document data, call a preset map API to convert the publishing unit name in the document data into longitude and latitude coordinates, draw a heat map of each publishing unit of the document data according to the longitude and latitude coordinates, and generate a publishing unit display interface.

[0038] The map API may be an API of existing map software such as Baidu Maps.

[0039] Specifically, the publishing unit name can be converted into longitude and latitude coordinates by calling the geocoding service of the Baidu Map API. The geocoding service can be used to convert between longitude and latitude coordinates and structured address information. In the embodiment of the present application, the geocoding service of the Baidu Map API is used to convert the publishing unit name into longitude and latitude coordinates to obtain the confidence level of the address coding.

[0040] International tools (such as CARTO) rely on the Google Maps geocoding interface and cannot accurately parse Chinese institutional naming conventions (e.g., "Northeast Institute of Geography, Chinese Academy of Sciences" vs. "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences"). Furthermore, due to restrictions on domestic map service policies, coordinate offsets (average error >1.5km) are common in practical applications. Such tools have a failure rate exceeding 45% when parsing scientific research institutions below the provincial level, severely hindering regional research layout analysis. This application utilizes the Baidu Maps API's geocoding service to convert latitude and longitude coordinates into structured address information, improving the accuracy of regional research layout analysis.

[0041] Heat maps can be used to display the popularity of literature publications in different regions, reflect the spatial distribution differences of research, and facilitate the analysis of regional research preferences.

[0042] The academic hotspot analysis system of the embodiment of the present application can be developed based on the R language. The R language has strong capabilities in data analysis visualization and is open source, which helps to improve research efficiency and quality and promote the development of academic research.

[0043] The academic hotspot analysis system can be built based on the biblioCNKI package, an open-source bibliometric toolkit designed in the R programming language. Developed specifically for HowNet, this bibliometric toolkit can effectively parse citation data exported from HowNet, improving data processing efficiency and accuracy. Other bibliometric tools, such as CiteSpace, lack Chinese word segmentation and institutional hierarchy parsing algorithms. Their comma-delimited format is incompatible with the special delimiter (";") used in HowNet-exported citation data. This requires manual preprocessing, impacting data processing efficiency and resulting in a high statistical error rate (as high as 37% when testing 5,000 data points).

[0044] In an embodiment of the present application, the document data acquisition module can be constructed based on the analysis function in the biblioCNKI package. By performing data cleaning on the target field information exported from HowNet and outputting document data such as the year of paper publication, number of publications by the author, document source, and publishing unit, a data basis is provided for bibliometric analysis.

[0045] The document publication trend display module 120 can be constructed based on the cumulative function in the biblioCNKI package. The document publication trend display module 120 extracts the document publication time, calculates the number of document publications each year, generates a chart showing the change in the number of document publications over time, and uses ggplot2 for visualization.

[0046] The keyword trend display module 130 can be constructed based on the Keydumbbell function in the biblioCNKI package. The keyword trend display module 130 processes the document data, extracts the document keywords and associates them with the publication time to generate a dynamic evolution graph.

[0047] The publication unit display module 140 can be constructed based on the Geoheatmap function in the biblioCNKI package. Specifically, it uses the geocoding service of the Baidu Map Open Platform to reverse-parse the publication unit name into longitude and latitude coordinates. The module then renders the spatial distribution kernel density based on the online image map of the China Science Star Map. Users can interactively zoom in and out to locate the heat level of a specific province, automatically annotating high-density research clusters, intuitively reflecting the spatial distribution differences of research and supporting the analysis of regional research preferences.

[0048] In an embodiment of the present application, a document data extraction module is used to obtain target field information of several documents to be analyzed in the target field, and document data is obtained based on the target field information. The document publication trend display module is used to analyze the document publication trend and generate a document publication trend interface to realize the visualization of the document publication trend. The keyword trend display module is used to analyze the time and number of occurrences of each keyword to generate a keyword trend interface for displaying the development trend of research hotspots. The publishing unit display module is used to call a preset map API to convert the publishing unit name in the document data into longitude and latitude coordinates, and a heat map of each publishing unit is generated based on the longitude and latitude coordinates, thereby realizing the display of academic preferences in different regions. The embodiment of the present application can analyze the distribution of document publication trends, keyword trends and publishing units and generate a visualization interface, which can intuitively display academic research hotspots, development trends and regional popularity, facilitate scientific research layout, improve academic research efficiency and quality, and promote the development of academic research.

[0049] The publication trend display module 120 analyzes and compiles literature data, generating a publication trend analysis chart for the corresponding year. The publication trend interface allows users to select an analysis time period to generate a publication trend analysis chart for the corresponding time period. The publication trend display module 120 can also be used to compile statistics such as the total number of documents, coverage years, peak years, average annual publication volume, cumulative growth rate, and moving average trends.

[0050] In one embodiment, the document publication trend interface includes a first time period input control. The document publication trend display module includes:

[0051] The target time period display unit is used to display the literature publication trend analysis chart of the first target time period according to the first target time period input through the first time period input control.

[0052] like Figure 2 As shown, it is a schematic diagram of a document publication trend interface in one embodiment of the present application; the document publication trend interface includes a first time period input control 210 and a document publication trend analysis graph 220;

[0053] The first time period input control 210 is used to input a first target time period to be displayed, so that the document publication trend interface of the first target time period can be displayed according to the first target time period input by the first time period input control 210 .

[0054] In the embodiment of the present application, the first time period input control 210 includes an upload control 211 , a time period selection control 212 , an analysis control 213 and display information 214 .

[0055] The upload control 211 is used to upload the literature data to be analyzed;

[0056] The time period selection control 212 is used to select the first target time period to be analyzed. The time period selection control 212 can be a slider, and the year of the first target time period can be adjusted by sliding the slider.

[0057] The time period selectable by the time period selection control 212 can be determined according to the time period of the uploaded document data. In the embodiment of the present application, the first target time period is 2010-2015.

[0058] After determining the first target time period, the user may trigger the analysis control 213 to analyze the literature publication trend in the first target time period, and generate display information 214 and a literature publication trend analysis graph 220 .

[0059] The display information 214 is used to display the year information, the total number of documents and the last update time of the first target time period.

[0060] The document publication trend analysis chart 220 is used to display the number of document publications and the cumulative number in each year within the first target time period, based on which the temporal change analysis of the document publication number is performed. The document publication trend analysis chart 220 can be a broken line chart.

[0061] The number of publications per year and the publication trend in the first target period. Figure 2 As shown, the trend of literature publication in the first target time period is an upward trend.

[0062] In an embodiment of the present application, the user can select the first target time period to be displayed through the first time period input control, thereby realizing the display of the literature publication trend of the first target time period. By adjusting the time slider, the year in the figure can be changed. The user can adjust the time period to be displayed as needed to improve the user experience.

[0063] In one embodiment, the document publication trend interface includes a data summary control; the document publication trend display module further includes:

[0064] A data summary interface display unit is used to display a data summary interface in response to a trigger operation on the data summary control; the data summary interface is used to display data summary information of the first target time period; the data summary information includes the first target time period, the total number of documents, the number of covered years, the high-yield years, the average number of publications, the cumulative growth rate and the moving average trend.

[0065] like Figure 3 As shown, when a user triggers the data summary control 310, a data summary interface 320 is displayed. The data summary interface 320 displays the time range of the first target time period, the total number of documents, the number of covered years, the most productive years, the average number of publications, the cumulative growth rate, and the moving average trend.

[0066] In the embodiment of the present application, the user can trigger the data summary control to display the publication information of the documents in the first target time period, so as to facilitate the understanding of the publication status and trends.

[0067] Specifically, the keyword trend display module 130 can analyze the distribution coordinates of the keywords in the first quartile, median, and third quartile, associate their spatial positions in the trend map, and simultaneously count the frequency and quantity of keywords in each year period to generate and display the keyword trend interface.

[0068] In one embodiment, the keyword trend interface includes a second time period input control, a keyword quantity adjustment control, a color input control, and a keyword time distribution trend graph. The keyword trend display module includes:

[0069] The target time period display unit is used to display the literature publication trend interface of the second target time period according to the second target time period input into the second time period input control, the number of keywords input into the keyword quantity adjustment control, and the color input into the color input control.

[0070] like Figure 4 As shown, the keyword trend interface includes a second time period input control 410 and a keyword time distribution trend graph 420;

[0071] The second time period input control 410 is used to input a second target time period, thereby displaying a keyword time distribution trend graph for the second target time period. The time period selectable by the second time period input control 410 can be determined based on the time period of the uploaded document data.

[0072] In the embodiment of the present application, the second target time period may be 2010 to 2024. The second time period input control 410 may include a time slider, and the user may slide the time slider to adjust the second target time period to be displayed.

[0073] The keyword time distribution trend graph 420 may include the first quantile, median, third quantile and number of occurrences of each keyword. The keyword time distribution trend graph 420 is a dumbbell graph.

[0074] like Figure 4 As shown, the keyword time distribution trend graph 420 includes a left node, a central node and an end node determined according to the first quantile, the median and the third quantile of the literature data. The left node shows the initial popularity of the keyword, the central node marks the research maturity period of the keyword, and the end node presents the recent development trend of the keyword.

[0075] Through the spatiotemporal distribution characteristics of the three points, the germination, diffusion and transfer trajectories of research hotspots in this field can be intuitively revealed, providing a quantitative basis for trend analysis in this field.

[0076] Optionally, the keyword trend interface may further include a keyword quantity adjustment control 440 , a color input control 450 , and an upload control 460 .

[0077] The keyword quantity adjustment control 440 is used to adjust the quantity of keywords displayed in the keyword time distribution trend graph 420 ; the keyword quantity adjustment control 440 includes a quantity slider, and the user can adjust the quantity of keywords by sliding the quantity slider.

[0078] The color input control 450 is used to adjust the line color of the keyword time distribution trend graph 420. In the embodiment of the present application, the color input control 450 is used to adjust the starting point color and the ending point color.

[0079] The upload control 460 is used to upload the document data that needs to be analyzed.

[0080] The number of keywords and line colors displayed in the keyword time distribution trend graph 420 are adjusted through the keyword number adjustment control 440 and the color input control 450, so as to facilitate users to view the data of the keyword time distribution trend graph and improve the viewing experience.

[0081] In one embodiment, the keyword trend interface includes a first statistical control; the keyword trend display module includes:

[0082] The first statistical interface display unit is used to display the first statistical interface in response to the triggering operation of the first statistical control; the first statistical interface is used to display the data statistical information of each keyword; the data statistical information includes the first quantile, median, third quantile and number of occurrences of each keyword.

[0083] The first quantile, median, and third quantile can be calculated based on quantile statistics.

[0084] like Figure 5 As shown, the keyword trend interface includes a first statistical control 510. The first statistical control 510 is used to display a first statistical interface 520, which includes the first quantile, median, third quantile and number of occurrences of each keyword.

[0085] In this embodiment, the user can trigger the first statistical control to display a specific first statistical interface, which is convenient for the user to view statistical data.

[0086] In one embodiment, the keyword trend interface includes a first original data preview control; the keyword trend display module includes:

[0087] The first raw data preview interface display unit is configured to display a first raw data preview interface in response to a triggering operation on the first raw data preview control; the first raw data preview interface includes keywords and the year of the keywords.

[0088] like Figure 6 As shown, upon receiving a trigger operation on the first original data preview control 610 , the first original data preview interface 620 is displayed.

[0089] Optionally, the first original data preview interface 620 further includes a search box 621 , which allows a user to search for a target keyword, thereby displaying the original data of the target keyword.

[0090] In this embodiment, the user can trigger the first original data preview control to display the first original data preview interface, thereby facilitating the user to browse the original data.

[0091] like Figure 7 As shown, it is a schematic diagram of the publishing unit display interface in one embodiment of the present application. The schematic diagram of the publishing unit display interface includes a heat map 710. The heat map 710 can display the popularity of literature publication in each province, reflect the spatial distribution differences of research, and facilitate the analysis of regional research preferences.

[0092] In one embodiment, the publishing unit display interface includes an upload control 720 , a map API key input control 730 , a data point size adjustment control 740 , a color adjustment control 750 , and a confidence range adjustment control 760 .

[0093] The upload control 720 is used to upload the document data that needs to be analyzed.

[0094] The map API key input control 730 is used to input the map API key. In the embodiment of the present application, the map API key input control 730 is used to input the Baidu map API key.

[0095] The data point size adjustment control 740 is used to adjust the size of the data points.

[0096] The color adjustment control 750 is used to adjust the line color.

[0097] The confidence range adjustment control 760 is used to adjust the confidence range of the longitude and latitude of the address resolution, and to avoid interference from erroneous resolution results by retaining resolution results with high confidence.

[0098] In one embodiment, the publishing unit display interface includes a second original data preview control; the publishing unit display module includes:

[0099] The second original data preview interface display unit is used to display the second original data preview interface in response to a triggering operation on the second original data preview control; the second original data preview interface includes the name of the publishing unit and the latitude and longitude coordinates.

[0100] like Figure 8 As shown, after receiving the trigger operation of the second original data preview control 810, the second original data preview interface 820 is displayed. The second original data preview interface 820 can publish information such as unit name, longitude, latitude, ID, confidence, and level.

[0101] Optionally, the second original data preview interface 820 further includes a search control 821, which can be used to input the name of the publishing unit to be viewed, thereby viewing the longitude, latitude, id, confidence, level and other information of the publishing unit.

[0102] The second original data preview interface is displayed through the second original data preview control, which makes it convenient for users to view the detailed information of each publishing unit.

[0103] In one embodiment, the keyword trend interface includes a second statistical control; the publishing unit display module includes:

[0104] The second statistical interface display unit is used to display the second statistical interface in response to the triggering operation of the second statistical control; the second statistical interface includes the total number of records, average confidence and current confidence range.

[0105] like Figure 9 As shown, after receiving the trigger operation of the second statistics control 910, the second statistics interface 920 is displayed. The second statistics interface 920 includes the total number of records, the average confidence level, and the current confidence level range. The current confidence level range can be the confidence level range adjusted by the confidence level range adjustment control 760.

[0106] By triggering the second statistics control to display the second statistics interface including the total number of records, average confidence and current confidence range, it is convenient for users to view statistical information.

[0107] This application can perform data cleaning and key data extraction on citation data exported from academic websites. This application uses time series analysis algorithms to analyze hot topics in disciplinary development, associates publication time with literature keywords, generates a dynamic evolution map, and combines spatial clustering algorithms to construct a publication unit map of academic institutions, thereby realizing the analysis of academic hot topics in the target field and improving the accuracy and scientificity of academic hot topic analysis.

[0108] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0109] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. An academic hotspot analysis system, characterized by: include: A document data acquisition module is used to acquire target field information of several documents to be analyzed in a target field, and acquire document data based on the target field information; the document data includes the publication time, keywords and publication unit of the document; The document publication trend display module is used to count the number of documents published in each year of the document data and generate a document publication trend interface; A keyword trend display module, used to count the time and number of occurrences of each keyword in the document data and generate a keyword trend interface; The publishing unit display module is used to call a preset map API based on the document data to convert the publishing unit name in the document data into longitude and latitude coordinates, and generate a publishing unit display interface for each publishing unit of the document data based on the longitude and latitude coordinates.

2. The academic hotspot analysis system according to claim 1, characterized in that: The document publication trend interface includes a first time period input control and a document publication trend analysis chart, and the document publication trend display module includes: The target time period display unit is used to display the literature publication trend analysis chart of the first target time period according to the first target time period input through the first time period input control.

3. The academic hotspot analysis system according to claim 1, characterized in that: The document publication trend interface includes a data summary control; the document publication trend display module also includes: A data summary interface display unit is used to display a data summary interface in response to a trigger operation on the data summary control; the data summary interface is used to display data summary information of the first target time period; the data summary information includes the first target time period, the total number of documents, the number of covered years, the high-yield years, the average number of publications, the cumulative growth rate and the moving average trend.

4. The academic hotspot analysis system according to claim 1, characterized in that: The keyword trend interface includes a second time period input control and a keyword time distribution trend graph, and the keyword trend display module includes: The target time period display unit is used to display the literature publication trend interface of the second target time period according to the second target time period input into the second time period input control, the number of keywords input into the keyword quantity adjustment control, and the color input into the color input control.

5. The academic hotspot analysis system according to claim 1, characterized in that: The keyword trend interface includes a first statistical control; the keyword trend display module includes: The first statistical interface display unit is used to display the first statistical interface in response to the triggering operation of the first statistical control; the first statistical interface is used to display the data statistical information of each keyword; the data statistical information includes the first quantile, median, third quantile and number of occurrences of each keyword.

6. The academic hotspot analysis system according to claim 1, characterized in that: The keyword trend interface includes a first original data preview control; The keyword trend display module includes: a first raw data preview interface display unit, configured to display a first raw data preview interface in response to a triggering operation on the first raw data preview control; The first original data preview interface includes keywords and the years of the keywords.

7. The academic hotspot analysis system according to claim 1, characterized in that: The publishing unit display interface includes a second original data preview control; The publishing unit display module includes: The second original data preview interface display unit is used to display the second original data preview interface in response to a triggering operation on the second original data preview control; the second original data preview interface includes the name of the publishing unit and the latitude and longitude coordinates.

8. The academic hotspot analysis system according to claim 1, characterized in that: The keyword trend interface includes a second statistical control; the publishing unit display module includes: The second statistical interface display unit is used to display the second statistical interface in response to the triggering operation of the second statistical control; the second statistical interface includes the total number of records, average confidence and current confidence range.

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