Sentiment analysis and opinion mining
- Responsibility
- Bing Liu.
- Imprint
- Cham, Switzerland : Springer, ©2012.
- Physical description
- 1 online resource (xiv, 167 pages)
- Series
- Synthesis digital library of engineering and computer science.
- Synthesis lectures on human language technologies ; lecture #16.
Online
Available online
More options
Description
Creators/Contributors
- Author/Creator
- Liu, Bing, 1963-
Contents/Summary
- Bibliography
- Includes bibliographical references.
- Contents
-
- Preface Sentiment Analysis: A Fascinating Problem The Problem of Sentiment Analysis Document Sentiment Classification Sentence Subjectivity and Sentiment Classification Aspect-Based Sentiment Analysis Sentiment Lexicon Generation Opinion Summarization Analysis of Comparative Opinions Opinion Search and Retrieval Opinion Spam Detection Quality of Reviews Concluding Remarks Bibliography Author Biography.
- (source: Nielsen Book Data)
- Publisher's summary
-
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. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online.
(source: Nielsen Book Data)
Subjects
- Subjects
- Data mining.
- Public opinion > Data processing.
- User-generated content > Research.
- Computational linguistics.
- Data Mining
- Exploration de données (Informatique)
- Opinion publique > Informatique.
- Contenu créé par l'utilisateur > Recherche.
- Linguistique informatique.
- computational linguistics.
- COMPUTERS > Enterprise Applications > Business Intelligence Tools.
- COMPUTERS > Intelligence (AI) & Semantics.
- sentiment analysis
- opinion mining
- emotion
- affect
- evaluation
- attitude
- mood
- social media
- natural language processing
- text mining
Bibliographic information
- Publication date
- 2012
- Series
- Synthesis lectures on human language technologies, 1947-4059 ; lecture #16
- Referenced in
- Compendex
- INSPEC
- Google scholar
- Google book search
- ISBN
- 9781608458851 (electronic bk.)
- 1608458857 (electronic bk.)
- 9781608458844 (paperback)
- 1608458849 (paperback)
- 9783031021459 (electronic bk.)
- 3031021452 (electronic bk.)
- DOI
- 10.2200/S00416ED1V01Y201204HLT016
- 10.1007/978-3-031-02145-9
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