A categorized sentiment analysis of Chinese reviews by mining dependency in product features and opinions from blogs

Hung-Yu Kao, Zi Yu Lin

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

In the past, there have been many documents focusing on English reviews for sentiment analysis. These contain abundant research results which extract features and opinions, identify semantic orientation, and associate features with opinions. Although this approach has performed well for English reviews, it is not as successful with Chinese reviews. In this paper, we aim to develop a sentiment analysis system that is suitable for Chinese reviews. This system would extract features that users are interested in and detect those opinions with semantic orientations that accord with the dependency of certain features and opinions in one specific category. We then present users with the integrated results. Our experiments show that the derived system can effectively measure the dependency between features and opinions. The prominent performance of review sentiment analysis also validates the applicability of the proposed method.

原文English
主出版物標題2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
頁面456-459
頁數4
DOIs
出版狀態Published - 2010 十二月 13
事件2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON, Canada
持續時間: 2010 八月 312010 九月 3

出版系列

名字Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
1

Other

Other2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
國家Canada
城市Toronto, ON
期間10-08-3110-09-03

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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