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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118221

    Title: Discovering Negative Comments by Sentiment Analysis on Web Forum
    Authors: Hsu, Wei-Yun;Hsu, Hui-Huang;Tseng, Vincent S.
    Keywords: sentiment analysis;text mining;neural network;support vector machine
    Date: 2019-05
    Issue Date: 2020-03-09 12:10:16 (UTC+8)
    Abstract: 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.
    Relation: World Wide Web 22(3), p.1297–1311
    DOI: 10.1007/s11280-018-0561-6
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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