Hotspot research discovery method based on social media academic conference information

A technology of academic conferences and social media, which is applied in the fields of data mining, natural language processing, computer science, and information science. It can solve the problems of long paper publication cycle, time lag, and inability to satisfy researchers to obtain the latest research trends, so as to avoid information Fragmentation, the effect of solving the time lag problem

CN113868548APending Publication Date: 2021-12-31中国人民解放军军事科学院军事科学信息研究中心
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-12-31

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Abstract

The invention discloses a hotspot research discovery method based on social media academic conference information. The method comprises the following steps: acquiring original state data of a social media academic conference based on topic tags; cleaning and analyzing the original state data, and extracting key information; inputting the key information into a pre-established and trained conference information classifier to obtain a corresponding information category; respectively obtaining corresponding research hotspots from three aspects of keyword analysis, user posted text analysis and information spreading network analysis based on information categories; and endowing the obtained research hotspots with weights, and performing weighted summation on all the research hotspots to obtain a final research hotspot sequence. The conference information classifier realizes classification of information categories based on a social media academic conference information organization model. The method provided by the invention can solve the time delay problem of a traditional literature metrology method, and research hotspots in related fields can be found more timely.
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Description

technical field

[0001] The present invention relates to the technical fields of natural language processing, information science, data mining, and computer science, and in particular to a method for discovering hot spots based on social media academic conference information. Background technique

[0002] It is very important for intelligence researchers to use natural language processing technology to quickly grasp research hotspots and research trends in related fields. For many years, the academic community has mainly used the citation data and abstracts, keywords, subject terms and other information of papers to carry out hotspot discovery research. Due to the long publication cycle of papers, these traditional bibliometric methods have obvious time lag problems and cannot meet the needs of Researchers need to obtain the latest research trends in a timely manner. Research has found that new research results and trends often appear first in various conferences and confere...

Examples

Embodiment 1

[0047] like figure 1 As shown, Embodiment 1 of the present invention proposes a hotspot discovery method based on social media academic conference information. It is necessary to first construct a social media academic conference information organization model, and then obtain current academic research hotspots through the social media academic conference information organization model.

[0048] The present invention selects twitter data as social media data, and first obtains Twitter meeting information data based on topic tags, and the specific process is as follows figure 2 shown.

[0049] The main code for data acquisition is as image 3 shown.

[0050] After the original data is acquired, the acquired Twitter original Status data is cleaned and analyzed to extract key information. Then the cleaned data is processed according to the social media academic conference information organization model.

[0051] The social media academic conference information organization ...