Tip information from social media based on topic detection-Reference-Cited by-同舟云学术

Tip information from social media based on topic detection

Published:2013-03-29 Issue:1 Volume:9 Page:83-94
ISSN:1744-0084
Container-title:International Journal of Web Information Systems
language:en
Short-container-title:Int J of Web Info Systems

Author:

Hattori Yuki,Nadamoto Akiyo

Publisher

Emerald

Subject

Computer Networks and Communications,Information Systems

Reference17 articles.

1. Blei, D.M., Ng, A.Y. and Jordan, M.I. (2003), “Latent Dirichlet allocation”,Journal of Machine Learning Research, Vol. 3, pp. 993‐1022.

2. Dave, K., Lawrence, S. and Pennock, D.M. (2003), “Mining the peanut gallery: opinion extraction and semantic classification of product reviews”,Proceedings of the 12th International World Wide Web Conference, pp. 519‐28.

3. Finding scientific topics

4. Higashiyama, M., Inui, K. and Matsumoto, Y. (2008), “Acquiring noun polarity knowledge using selectional preferences (in Japanese)”,Proceedings of the 14th Annual Meeting of the Association for Natural Language Processing, pp. 584‐7.

5. Hu, M. and Liu, B. (2004), “Mining and summarizing customer reviews”,Proceedings of ACM‐KDD, pp. 168‐77.

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