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Analysis of Hot Topics and Evolution of Research in World-class Agricultural Universities Based on BERTopic

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LAURETT R, PAÇO A, MAINARDES E W. Sustainable development in agriculture and its antecedents, barriers and consequences–an exploratory study[J]. Sustainable Production and Consumption, 2021, 27: 298-311. Search in Google Scholar

FAO, IFAD, UNICEF, WFP and WHO. In Brief to The State of Food Security and Nutrition in the World 2023[R].2023. Search in Google Scholar

PERKMANN M, TARTARI V, MCKELVEY M, et al. Academic engagement and commercialisation: A review of the literature on university–industry relations[J]. Research policy, 2013,42(2): 423-442. Search in Google Scholar

Ma Luting. First-class universities should provide first-class social services [N]. Wen Wei Po, 2019-08-09. Search in Google Scholar

Huang Min, Chen Yanhui. Generation logic and realization mechanism of characteristic strategy of world-class agriculture-related universities [J]. Heilongjiang Higher Education Research, 2021,39(08): 51-56. Search in Google Scholar

CALERO-MEDINA C, NOYONS E C. Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field[J]. Journal of Informetrics, 2008,2(4): 272-279. Search in Google Scholar

DUBARIĆ E, GIANNOCCARO D, BENGTSSON R, et al. Patent data as indicators of wind power technology development[J]. World patent information, 2011,33(2): 144-149. Search in Google Scholar

XU H, YUE Z, WANG C, et al. Multi-source data fusion study in scientometrics[J]. Scientometrics, 2017,111: 773-792. Search in Google Scholar

Pei Yunlong, Cai Hong, Zhao Jiaohui. Impact of nanoscience on nanotechnology:an analysis based on NPR[J]. Journal of Intelligence, 2010,29(10): 1-4. Search in Google Scholar

MEYER M. Does science push technology? Patents citing scientific literature[J]. Research policy, 2000,29(3): 409-434. Search in Google Scholar

NARIN F, HAMILTON K S, OLIVASTRO D. The increasing linkage between U.S. technology and public science[J]. Research policy, 1997,26(3): 317-330. Search in Google Scholar

KLEINBERG J. Bursty and hierarchical structure in streams: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining[C], 2002. Search in Google Scholar

Liang Liming, Xie Caixia. Word frequency analysis for the analysis of nanotechnology research trends in China[J]. Science Research, 2003(02): 138-142. Search in Google Scholar

Qiu Junping, Wen Fangfang. Visualization and analysis of research hotspots and frontiers in library and information science in the past five years: an econometric study based on 13 high-impact foreign language source journals[J]. Chinese Library Journal, 2011,37(02): 51-60. Search in Google Scholar

Wang, Leah. A study of subject mutation based on keyword mutation[J]. Intelligence Theory and Practice, 2013,36(11): 45-48. Search in Google Scholar

BAI Y, LI H. Mapping the evolution of e-commerce research through co-word analysis: 2001–2020[J]. Electronic Commerce Research and Applications, 2022,55: 101190. Search in Google Scholar

MANE K K, BÖRNER K. Mapping topics and topic bursts in PNAS[J]. Proceedings of the National Academy of Sciences, 2004,101(suppl_1): 5287-5290. Search in Google Scholar

Zhao Fan. Improvement of similarity algorithm for dynamic tracking of subject topics based on co-word analysis[J]. Journal of Intelligence, 2010,29(01): 173-176. Search in Google Scholar

TANG Guoyuan, ZHANG Wei. Progress and analysis of research on subject theme evolution based on co-occurrence analysis[J]. Library and Intelligence Work, 2015,59(05): 128-136. Search in Google Scholar

GIRVAN M, NEWMAN M E. Community structure in social and biological networks[J]. Proceedings of the national academy of sciences, 2002,99(12): 7821-7826. Search in Google Scholar

MCCAIN K W. Assessing an author’s influence using time series historiographic mapping: The oeuvre of Conrad Hal Waddington (1905–1975)[J]. Journal of the American Society for Information Science and Technology, 2008,59(4): 510-525. Search in Google Scholar

WALLACE M L, GINGRAS Y, DUHON R. A new approach for detecting scientific specialties from raw cocitation networks[J]. Journal of the American Society for Information Science and Technology, 2009,60(2): 240-246. Search in Google Scholar

Cheng QK, Wang XG. A framework for analyzing the evolution of research topics based on co-word network communities[J]. Library and Intelligence Work, 2013,57(08): 91-96. Search in Google Scholar

BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of machine Learning research, 2003,3(Jan): 993-1022. Search in Google Scholar

Zhang Ling, Yun Chengtao, Yin Sili, et al. Comparative analysis of China’s research integrity policy and the evolution of literature themes[J]. Modern Intelligence, 2023,43(06): 108-120. Search in Google Scholar

XI Xiaowen, GUO Ying, SONG Xinna, et al. Visualization of technology similarity based on word2vec and LDA topic model[J]. Journal of Intelligence, 2021,40(09): 974-983. Search in Google Scholar

QI Yashuang, ZHU Na, ZHAI Yujia. A comparative study on the evolution of heat of domestic and international intelligence research topics based on DTM[J]. Library and Intelligence Work, 2016,60(16): 99-109. Search in Google Scholar

ZHANG Peiyao, LIU Dongsu. Short text topic evolution analysis based on word vector and BTM[J]. Data Analysis and Knowledge Discovery, 2019,3(03): 95-101. Search in Google Scholar

GROOTENDORST M. BERTopic: Neural topic modeling with a class-based TF-IDF procedure[J]. arXiv preprint arXiv:2203.05794, 2022. Search in Google Scholar

Zeng Jiangfeng, Huang Yongtong, Chen Jingyi, et al. A Study on Subject Evolution for Convergent Publishing Technologies[J]. Digital Library Forum, 2023,19(4): 9-18. Search in Google Scholar

Wang Xiuhong, Gao Min. BERT-LDA based key technology identification method and its empirical research--Taking agricultural robots as an example[J]. Library and Intelligence Work, 2021,65(22): 114-125. Search in Google Scholar

ZHANG Qinghui, CHEN Yi, WU Caixia. A visual analysis method for domain literature data based on word representation model[J]. Journal of Graphics, 2022,43(4): 685-694. Search in Google Scholar

PENNINGTON J, SOCHER R, MANNING C D. Glove: Global vectors for word representation: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)[C], 2014. Search in Google Scholar

WU Ruipeng,LI Yongnan,LIU Shuai et al. Analysis of Hot Topics and Evolution of U.S. Artificial Intelligence Strategy Based on DTM[J/OL]. Journal of Intelligence: 1-10[2023-08-30]. http://kns.cnki.net/kcms/detail/61.1167.g3.20230803.0749.016.html Search in Google Scholar

MANN G S, MIMNO D, MCCALLUM A. Bibliometric impact measures leveraging topic analysis: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries[C], 2006. Search in Google Scholar

XI Xiaowen,GUO Ying,SONG Xinna et al. Visualization of technology similarity based on word2vec and LDA topic model[J]. Journal of Intelligence,2021,40(09):974-983. Search in Google Scholar

COXHEAD A. A new academic word list[J]. TESOL quarterly, 2000,34(2): 213-238. Search in Google Scholar

USPTO. Patents Glossary[EB/OL]. [2016-06-20]. https://www.findlaw.com/smallbusiness/intellectual-property/patents-glossary.html. Search in Google Scholar

Liu ZQ, Wang XY, Bai RJ. Research on visualization and analysis methods of subject theme evolution under multidimensional perspective--an example of big data research in the field of library intelligence in China[J]. Chinese Journal of Librarianship, 2016,42(06): 67-84. Search in Google Scholar

eISSN:
2444-8656
Lingua:
Inglese
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Volume Open
Argomenti della rivista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics