標題: Discovering negative comments by sentiment analysis on web forum
作者: Hsu, Wei-Yun
Hsu, Hui-Huang
Tseng, Vincent S.
資訊工程學系
Department of Computer Science
關鍵字: sentiment analysis;text mining;neural network;support vector machine
公開日期: 1-May-2019
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.
URI: http://dx.doi.org/10.1007/s11280-018-0561-6
http://hdl.handle.net/11536/151955
ISSN: 1386-145X
DOI: 10.1007/s11280-018-0561-6
期刊: WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
Volume: 22
Issue: 3
起始頁: 1297
結束頁: 1311
Appears in Collections:Articles