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Extraction of Evaluation Keywords for Analyzing Product Evaluation in User-Reviews Using Hierarchical Keyword Graph
Tomohiro Yoshikawa*, Yuki Uchida*, Takeshi Furuhashi*,
Eiji Hirao**, and Hiroto Iguchi**
*Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
**NEC corporation, 11-5 Shibaura 2-chome, Minato-Ku, Tokyo 108-8557, Japan
Received:December 3, 2008Accepted:March 17, 2009Published:July 20, 2009
Keywords:evaluation keywords, user-review, Hierarchical Keyword Graph, text mining
Abstract
Recently, the number of sites on the Internet which give users the opportunity to write their ideas and opinions for the public to read have been increasing. In addition, the number of people who want to know the opinions of others about interesting products has also been increasing. However, it is very difficult for people to read complete reviews on the Internet. This study tries to develop a new system for the analysis of reviews, a system which shows evaluation information about products using graphs of evaluation keywords. This paper focuses on the extraction of evaluation keywords from reviews on the Internet. This paper proposes a method for extracting evaluation keywords and displays its results as graphs. It employs HK Graph (Hierarchical Keyword Graph), which can visualize the relationship among words in a hierarchical network structure based on the co-occurrence information for the keyword graph.
Cite this article as:T. Yoshikawa, Y. Uchida, T. Furuhashi, E. Hirao, and H. Iguchi, “Extraction of Evaluation Keywords for Analyzing Product Evaluation in User-Reviews Using Hierarchical Keyword Graph,” J. Adv. Comput. Intell. Intell. Inform., Vol.13 No.4, pp. 457-462, 2009.Data files:
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