教師資料查詢 | 類別: 期刊論文 | 教師: 許輝煌 Hsu Hui-huang (瀏覽個人網頁)

標題:Discovering Negative Comments by Sentiment Analysis on Web Forum
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
語言英文(美國)
ISSN1386-145X
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
國別美國
公開徵稿
出版型式,電子版
相關連結
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