Sentiment Analysis: Mining Opinions, Sentiments, and Emotions

Liu, Bing

ISBN 10: 1107017890 / ISBN 13: 9781107017894

Published by Cambridge University Press, 2015

About this Item

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Bibliographic Details

• Title: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions
• Publisher: Cambridge University Press
• Publication Date: 2015
• Language: English
• ISBN 10: 1107017890
• ISBN 13: 9781107017894
• Binding: hardcover
• Condition: Good

About this title

Synopsis

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.

About the Author

Bing Liu is a Professor of Computer Science at the University of Illinois. His current research interests include sentiment analysis and opinion mining, data mining, machine learning, and natural language processing. He has published extensively in top conferences and journals, and his research has been cited on the front page of the New York Times. He is also the author of two books: Sentiment Analysis and Opinion Mining (2012) and Web Data Mining: Exploring Hyperlinks, Contents and Usage Data (1st edition, 2007; 2nd edition, 2011). He currently serves as the chair of ACM SIGKDD and is an IEEE Fellow.