Asia Pacific University Library catalogue


Sentiment analysis and opinion mining / Bing Liu.

By: Liu, Bing, 1963-Material type: TextTextSeries: Synthesis lectures on human language technologies ; # 16.Publication details: San Rafael, Calif. : Morgan & Claypool, c2012Description: xiv, 165 p. ; 24 cmISBN: 9781608458844 (pbk.)Subject(s): Data mining | User-generated content -- Research | Public opinion -- Data processing | Computational linguisticsDDC classification: 006.3 LOC classification: QA76.9.D343 | L58 2012Also available online.
Contents:
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.
Abstract: 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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Item type Current library Collection Call number Copy number Status Date due Barcode
Staff Circulation Staff Circulation APU Library
Open Shelf 		Book QA76.9.D343 L58 2012 c.1 (Browse shelf (Opens below)) 1 Available (No use restrictions) 00029921
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Open Shelf 		Book QA76.9.D343 L58 2012 c.2 (Browse shelf (Opens below)) 2 Available (No use restrictions) 00029922

Part of: Synthesis digital library of engineering and computer science.

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.

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.

Also available online.

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