Discovering negative comments by sentiment analysis on web forum
| Autor: | Hui-Huang Hsu, Vincent S. Tseng, Wei Yun Hsu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Artificial neural network
Computer Networks and Communications business.industry Web forum Computer science Sentiment analysis 02 engineering and technology World Wide Web Support vector machine Text mining Hardware and Architecture 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet Social media Web crawler business Software |
| Zdroj: | World Wide Web. 22:1297-1311 |
| ISSN: | 1573-1413 1386-145X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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