Discovering Negative Comments by Sentiment Analysis on Web Forum

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/118221

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题名:	Discovering Negative Comments by Sentiment Analysis on Web Forum
作者:	Hsu, Wei-Yun;Hsu, Hui-Huang;Tseng, Vincent S.
关键词:	sentiment analysis;text mining;neural network;support vector machine
日期:	2019-05
上传时间:	2020-03-09 12:10:16 (UTC+8)
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.
關聯:	World Wide Web 22(3), p.1297–1311
DOI:	10.1007/s11280-018-0561-6
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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