Database of Chinese Academic Papers Keyword Clustering Analysis

Abstract

Abstract: After more than four years of development, China Engineering Expert Tank(CEET) has
collected about 120 million pieces of academic resources. During the data analysis of these resources, the
keywords of 78 292 409 Chinese papers are extracted and analyzed systematically. The published database
consists of keywords extracted from 18 789 626 Chinese academic papers from 2014 to 2018. It can be
used in academic hotspot analysis, co-word analysis and academic emerging trend detection.

Key words: Keywords Chinese papers, Keyword, China Engineering Expert Tank (CEET)

Liu Xiang, Huang Chen. Database of Chinese Academic Papers Keyword Clustering Analysis[J]. Libraly Journal, 2020, 39(6): 118-120.

[1]	Ma Cuichang, Wang Lei (Sun Yat-sen University Library) . Research on the Multi-Dimensional Thematic Structure of Huizhou Document from the Perspective of Historical Discourse System [J]. Libraly Journal, 2022, 41(7): 119-127.
[2]	Wei Yumei, Teng Guangqing, Ma Zhuo, Tuo Rui . Extraction and Analysis of Domain Keywords Based on Network of Global Structure Relationship [J]. Libraly Journal, 2021, 40(2): 5-28.
[3]	Liu Zhifeng, Li Xin. Survival Analysis of Author Keywords: An Empirical Study on Library and Information Science in China [J]. Libraly Journal, 2020, 39(7): 48-57.
[4]	Zhang Hailing, Ke Ping. Research on Peer Education Service of Foreign Academic Libraries [J]. Libraly Journal, 2020, 39(6): 83-91.
[5]	Mi Ziyuan, Ding Kening, Hao Qun, Zhang Libin. Reflections on the Rational Use of Foreign Orphan Works:A Case Study of Legal Thinking in Japan and the EuropeanUnion [J]. Libraly Journal, 2019, 38(9): 70-77.
[6]	Pu Shanshan . Research on the Current Status of University Libraries’ Transformation in the United States [J]. Libraly Journal, 2019, 38(2): 86-94.
[7]	Pan Yan, Jin Xiuling. Empirical Research on the Difference of Bid Evaluation Factors of Document Resources Procurement [J]. Libraly Journal, 2019, 38(2): 49-57.
[8]	Li Yang, Wen Liangming. Scientific Data Outflow in China: Phenomena, Problems and Countermeasures [J]. Libraly Journal, 2019, 38(12): 72-81.
[9]	Song Linlin. Survey and Inspiration of Metadata Course: Taking Universityof Illinois at Urbana-Champaign for Instance [J]. Libraly Journal, 2019, 38(11): 80-90.
[10]	Li Feng. Medium and Low Frequency Keywords in Co-word Analysis: A Case Study of Highly Cited Articles in Library and Information Science [J]. Libraly Journal, 2018, 37(4): 34-42.
[11]	Hu Yuting, Huang Chen. Research on Keywords Association Recommendation of Knowledge Discovery System [J]. Libraly Journal, 2018, 37(2): 71-77.
[12]	Wu Ningfen, He Qingfang. Current Status, Problems and Countermeasures on the “Information Literacy Education” Courses in the Colleges and Universities in Shanghai [J]. Libraly Journal, 2018, 37(2): 39-46.
[13]	Hu Suping. An Investigation on the Loss and Existence of Ros’s Collection [J]. Libraly Journal, 2017, 36(10): 100-107.
[14]	Lin Zefei Meng Xuemei. The Toponym Authority Control of Local literature Base on Linked Data [J]. Libraly Journal, 2017, 36(10): 55-62.
[15]	Lin Zefei, Meng Xuemei. Question & Answer Community: A New Demand for the Library [J]. Libraly Journal, 2017, 36(10): 63-70.

Database of Chinese Academic Papers Keyword Clustering Analysis

PDF(CN)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments