Grammar Analysis of a Chinese Opinion Mining System
| Autor: | Zi-Long Chen, 陳子龍 |
|---|---|
| Rok vydání: | 2012 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 100 Today, the fast development of the Web has resulted in the user-centric websites and websites (blog, forum, BBS, etc) that allow users to share their comments on a company or a product. For the rapid access to information contained in the huge amounts of articles on the Web, the Chinese opinion mining system is very important. This paper discusses the sentence grammar of the Chinese opinion mining system, analyzes the articles on companies or products published on two popular BBS of Mobile01 and PTT telecommunications. Our sentence grammar mainly uses “default topic”, “clause priority” and “corresponding relationship” coupled with sentences to match up with the opinion elements to express the views of the article posters. The experimental results suggest that precision, recall and F1 are the same in various months and BBS, suggesting our sentence grammar is stable. By considering the default topic, the experimental results prove that the proposed method is effective in terms of overall data. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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