期刊論文
| 學年 | 107 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2019-05-01 |
| 作品名稱 | Discovering Negative Comments by Sentiment Analysis on Web Forum |
| 作品名稱（其他語言） | |
| 著者 | Wei-Yun Hsu; Hui-Huang Hsu; Vincent S. Tseng |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | World Wide Web 22(3), p.1297–1311 |
| 摘要 | Social media enables people to communicate with each other on the Internet in real-time and rich styles. In other words, there is a lot of information on the social media. If we can extract negative opinions of some brands, enterprises or politics, we can use these opinions to know the market demands and solve problems. In this paper, we propose a novel approach to extract negative-sentiment-oriented features and identify negative opinions in social media with text mining and machine learning techniques, support vector machine and neural network, as well as data collection with Web crawler. The experimental results show that our proposed methods can work effectively. |
| 關鍵字 | sentiment analysis;text mining;neural network;support vector machine |
| 語言 | en_US |
| ISSN | 1386-145X |
| 期刊性質 | 國外 |
| 收錄於 | SCI EI |
| 產學合作 | |
| 通訊作者 | Hui-Huang Hsu |
| 審稿制度 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118221 ) |