Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Using Chinese part-of-speech patterns for sentiment phrase identification and opinion extraction in user generated reviews

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Ting-Chun Peng ; Inst. for Inf. Ind., Taipei, Taiwan ; Chia-Chun Shih

Accelerated growth of the Internet has enabled users worldwide to share their feelings and experiences. User-generated content (UGC) websites are the most abundant sources of user reviews. Accurately identifying sentiment phrases is essential to understand the expressed opinions in user reviews. To achieve this, part-of-speech (POS) patterns of phrases are useful. However, previous studies for Chinese opinion extraction only translate English POS patterns directly into Chinese for this task without considering the feasibility. Therefore, this work proposes a Chinese opinion extraction method that exploits the observed Sinica Treebank POS patterns for sentiment phrase identification. Sinica Treebank is a widely representative POS corpus for Chinese. The results of preliminary experiments indicate that the proposed method is highly effective in extracting opinions from Chinese UGC reviews.

Published in:

Digital Information Management (ICDIM), 2010 Fifth International Conference on

Date of Conference:

5-8 July 2010