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Sentiment Analysis: Mining Opinions, Sentiments, and Emotions, Liu, Bing, 978110

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Book Title
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions
ISBN
9781107017894

Informazioni su questo prodotto

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
1107017890
ISBN-13
9781107017894
eBay Product ID (ePID)
203384006

Product Key Features

Number of Pages
381 Pages
Publication Name
Sentiment Analysis : Mining Opinions, Sentiments, and Emotions
Language
English
Subject
Databases / Data Mining, Databases / General
Publication Year
2015
Type
Textbook
Author
Bing Liu
Subject Area
Computers
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
25.2 Oz
Item Length
9.4 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2014-036113
Reviews
'As a whole, this book serves as a useful introduction to sentiment analysis along with in-depth discussions of linguistic phenomena related to sentiments, opinions, and emotions. Although many sentiment analysis methods are based on machine learning as in other NLP [Natural Language Processing] tasks, sentiment analysis is much more than just a classification or regression problem, because the natural language constructs used to express opinions, sentiments, and emotions are highly sophisticated, including sentiment shift, implicated expression, sarcasm, and so on. Liu has described these issues and problems very clearly. Readers will find this book to be inspiring and it will arouse their interests in sentiment analysis.' Jun Zhao, Computational Linguistics
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/12
Table Of Content
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.
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., This comprehensive introduction to all the core areas and many emerging themes of sentiment analysis approaches the problem from a natural-language-processing angle. The author explains the underlying structure and the language constructs that are commonly used to express opinions and sentiments and presents computational methods to analyze and summarize opinions.
LC Classification Number
QA76.9.N38 L58 2015

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