TOPIC EXTRACTION AND SOCIAL PROBLEM DETECTION BASED ON DOCUMENT CLUSTERING-Reference-Cited by-同舟云学术

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TOPIC EXTRACTION AND SOCIAL PROBLEM DETECTION BASED ON DOCUMENT CLUSTERING

Published:2008 Issue: Volume:5 Page:216-226
ISSN:1882-4609
Container-title:SOCIOTECHNICA
language:
Short-container-title:Shakai gijutsu kenkyuu rombunshuu

Author:

Hashimoto Taiichi,Murakami Koji,Inui Takashi,Utsumi Kazuo,Ishikawa Masamichi

Publisher

Sociotechnology Research Network (Shakai Gijutsu Kenkyuukai)

Reference18 articles.

1. 1) 市川惇信 (2005)『ristexNEWS』1, 1.

2. 2) 堀井秀之 (2006)『安全安心のための社会技術』東京大学出版会.

3. 4) Rajman, M., and Besanceon, R. (1997) Text Mining: Natural Language techniques and Text Mining applications, Proceedings of the seventh IFIP 2.6 Working Conference on Database Semantics, (DS-7).

4. 5) Hearst, M.A. (1998) Untangling Text Data Mining, ACL'98, 3-10.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visualization of Potential Technical Solutions by SOM and Co-Clustering and its Extension to Multi-View Situation;Journal of Advanced Computational Intelligence and Intelligent Informatics;2020-01-20

2. Visualization of the Internet News Based on Efficient Self-Organizing Map Using Restricted Region Search and Dimensionality Reduction;Journal of Advanced Computational Intelligence and Intelligent Informatics;2012-03-20

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