國立虎尾科技大學 |

Sentiment analysis = mining opinions, sentiments, and emotions /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Sentiment analysis/ Bing Liu.
其他題名:	mining opinions, sentiments, and emotions /
作者:	Liu, Bing.
出版者:	Cambridge :Cambridge University Press, : 2015.,
面頁冊數:	367 p. :digital ; : 24 cm.;
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Natural language processing (Computer science) -
電子資源:	https://doi.org/10.1017/CBO9781139084789
ISBN:	9781139084789

Sentiment analysis = mining opinions, sentiments, and emotions /
Liu, Bing.

Sentiment analysismining opinions, sentiments, and emotions /[electronic resource] :Bing Liu. - Cambridge :Cambridge University Press,2015. - 367 p. :digital ;24 cm.

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Machine generated contents note: 1. Introduction; 2. The problem of sentiment analysis; 3. Document sentiment classification; 4. Sentence subjectivity and sentiment classification; 5. Aspect sentiment classification; 6. Aspect and entity extraction; 7. Sentiment lexicon generation; 8. Analysis of comparative opinions; 9. Opinion summarization and search; 10. Analysis of debates and comments; 11. Mining intentions; 12. Detecting fake or deceptive opinions; 13. Quality of reviews.

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.

ISBN: 9781139084789Subjects--Topical Terms:

641811
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / L58 2015

Dewey Class. No.: 006.312

Sentiment analysis = mining opinions, sentiments, and emotions /
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505 8 $a Machine generated contents note: 1. Introduction; 2. The problem of sentiment analysis; 3. Document sentiment classification; 4. Sentence subjectivity and sentiment classification; 5. Aspect sentiment classification; 6. Aspect and entity extraction; 7. Sentiment lexicon generation; 8. Analysis of comparative opinions; 9. Opinion summarization and search; 10. Analysis of debates and comments; 11. Mining intentions; 12. Detecting fake or deceptive opinions; 13. Quality of reviews.
520 $a Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.
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