Sentiment analysis and opinion mining

• 作者： Liu, Bing, 1963-
• 其他題名：
  • Synthesis lectures on human language technologies,
• 出版： San Rafael, Calif. : Morgan & Claypool
• 叢書名： Synthesis lectures on human language technologies,# 16
• 主題： Data mining , User-generated content--Research. , Public opinion--Data processing. , Computational linguistics
• ISBN： 1608458849 (pbk.) 、 9781608458844 (pbk.)
• 資料類型: 圖書
• 內容註: Includes bibliographical references (p. 135-165). 1. Sentiment analysis: a fascinating problem -- 2. The problem of sentiment analysis -- 3. Document sentiment classification -- 4. Sentence subjectivity and sentiment classification -- 5. Aspect-based sentiment analysis -- 6. Sentiment lexicon generation -- 7. Opinion summarization -- 8. Analysis of comparative opinions -- 9. Opinion search and retrieval -- 10. Opinion spam detection -- 11. Quality of reviews -- 12. Concluding remarks Part of: Synthesis digital library of engineering and computer science.
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• 摘要註: Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis.
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