Sentiment Analysis
Sentiment Analysis
$76.99
USDSentiment 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.
- Covers state-of-the-art research techniques and practical algorithms to form the most comprehensive text on sentiment analysis
- Covers not only the core areas of sentiment analysis, but also several emerging topics such as debate, discussion and comment analysis, intention mining, and fake opinion detection
- Suitable for students, researchers and practitioners of computer science, management science, and social science
Reviews & endorsements
'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
Product details
May 2015Adobe eBook Reader
9781316308462
0 pages
0kg
24 b/w illus. 9 tables
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- 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.
