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All issues Volume 152 (2023) SHS Web Conf., 152 (2023) 03012 References
Open Access
Issue
SHS Web Conf.
Volume 152, 2023
8th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD2022)
Article Number 03012
Number of page(s) 15
Section Chapter 3: Law and Education
DOI https://doi.org/10.1051/shsconf/202315203012
Published online 05 January 2023
  1. H. Qiu, B. Shao. “Research on Identification Methods of Scientific Research Hotspots under Multi-source Data, ” Library and Information Service, 2020, 64(5): 78. [Google Scholar]
  2. Xu Xiaoyang, Zheng Yanning, Liu Zhihui. Study on the Method of Identifying Research Fronts Based on Scientific Papers and Patents [J]. Library and Information Service, 2016, 60(24): 97. [Google Scholar]
  3. Yu G, Wang M Y, Yu D R Characterizing knowledge diffusion of nanoscience & nanotechnology by citation analysis[J]. Scientometrics, 2010, 84(1): 81-97. [CrossRef] [Google Scholar]
  4. Hou Jianhua, Wang Zhongyu. The Measurement of Knowledge Flow in Research Subject with a Empirical Analysis Taking H-index Study as an Example [J]. Library and Information Service, 2017, 61(10): 87-93. [Google Scholar]
  5. Reimers N, Gurevych I. Sentence-bert: Sentence embeddings using siamese bertnetworks [J]. arXiv preprint arXiv:1908.10084, 2019. [Google Scholar]
  6. Chen Honglin, Wei Ruibin, Zhang Wei, et al. Research on Domestic Text Sentiment Analysis Based on Co-word Analysis [J]. Journal of Modern Information, 2019, 39(6): 91-101. [Google Scholar]
  7. Shang Pu. On the Operation Mechanism of National Intelligence Work Statistics and Analysis of Word Frequency Based on “National Intelligence Law of the People's Republic of China” [J]. Journal of Intelligence, 2020, 39(2): 5-10. [Google Scholar]
  8. Feng Guohe, Kong Yongxin. Subject Hotspot Research Based on Word Frequency Analysis of Time-Weighted Keywords [J]. Journal of the China Society for Scientific and Technical Information, 2020, 39(1): 100-110. [Google Scholar]
  9. Guan Peng, Wang Yuefen. Dynamic Analysis of Authors' Research Interests in Disciplinary Field Life Cycle [J]. Library and Information Service, 2016, 60(19): 116. [Google Scholar]
  10. Wang Jie, Chen Zhigang, Liu Jialing, et al. Privacy Behavior Mining Technology for Cloud Computing Based on Clustering [J]. Computer Engineering and Applications, 2020, 56(5): 80-84. [Google Scholar]
  11. Li G, Zhu X, Wang J, et al. Using lda model to quantify and visualize textual financial stability report [J]. Procedia computer science, 2017, 122: 370-376. [CrossRef] [Google Scholar]
  12. Wang Yajing, Guo Qiang, Deng Chunyan, et al. Research on User Traits Predicting Based on LDA Topic Model [J]. Complex Systems and Complexity Science, 2020, 17(4): 9-15. [Google Scholar]
  13. Zhang Xiuhua, Yun Hongyan, He Ying, et al. Chinese News Event Detection and Theme Extraction Based on Convolution Neural Network and K-means [J]. Science Technology and Engineering, 2020. [Google Scholar]
  14. Ruan Guangce, Xia Lei. Hot Topic Detection in Journal Papers Based on Doc2Vec [J]. Information Studies: Theory & Application, 2019, 42(4): 107. [Google Scholar]
  15. Hu Jiming, Qian Wei, Li Yuwei, et al. Topic Mining and Structured Parse of Policy Text Based on LDA2Vec [J]. Information Science, 2021, 39(10): 11. [Google Scholar]
  16. Devlin J, Chang M W, Lee K, et al. Bert: Pre-training of deep bidirectional transformers for language understanding [J]. arXiv preprint arXiv:1810.04805, 2018. [Google Scholar]
  17. Wang Chunxiu, Ran Meili. Theory Foundation Discussion about Quantitative Analysis of Subjects Theme Evaluation [J]. Journal of Modern Information, 2008, 28(6): 48-50. [Google Scholar]
  18. Liu Ziqiang, Wang Xiaoyue, Bai Rujiang. Research on Visualization Analysis Method of Discipline Topics Evolution from the Perspective of Multi-Dimensions: A Case Study of the Big Data in the Field of Library and Information Science in China [J]. Journal of Library Science in China, 2016, 42(6): 67-84. [Google Scholar]
  19. Chen C. Cite Space II: Detecting and visualizing emerging trends and transient patterns in scientific literature [J]. Journal of the American Society for information Science and Technology, 2006, 57(3): 359-377. [CrossRef] [Google Scholar]
  20. Cobo M J, Lopez-Herrera A G, Herrera-Viedma E, et al. SciMAT: A new science mapping analysis software tool [J]. Journal of the American Society for Information Science and Technology, 2012, 63(8): 1609-1630. [CrossRef] [Google Scholar]
  21. Wang Xiaoguang, Cheng Qikai. Analysis on Evolution of Research Topics in a Discipline Based on NEViewer [J]. Journal of the China Society for Scientific and Technical Information, 2013, 32(9): 900-911. [Google Scholar]
  22. Wu Jiang, Liu Guanjun, Hu Xian. An Overview of Online Medical and Health Research: Hot Topics, Theme Evolution and Research Content [J]. Data Analysis and Knowledge Discovery, 2019 (4): 2-12. [Google Scholar]
  23. Niu Li, Du Lihua. Research on the Construction and Evolution Analysis of the Subject Theme Network of Domestic Archives [J]. Archives Science Study, 2020, 34(2): 1 [Google Scholar]
  24. Li Yue. Research on the Evolution of Public Policy Topics in Emergent Public Health Events Taking the Official We Chat of the National Central City as an Example [J]. Journal of Intelligence, 2020, 39(09):143-149. [Google Scholar]
  25. Zhu Guang, Liu Lei, Li Fengjing. Research on Topic Relation and Prediction Based on LDA and LSTM A Case Study of Privacy Research [J]. Modern Information, 2020. [Google Scholar]
  26. Yan Duanwu, Su Qiong, Zhang Xinyu. Research on Frontier Detection in Scientific Field Based on Sequential Topic Association Evolution [J]. Information Studies: Theory & Application, 2019, 42(7): 144. [Google Scholar]
  27. Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation [J]. Journal of machine Learning Research, 2003, 3(Jan): 993-1022. [Google Scholar]
  28. Blei D M. Probabilistic topic models [J]. Communications of the ACM, 2012, 55(4): 77-84. [CrossRef] [Google Scholar]

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