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Sentiment Analysis and Opinion Mining

A comprehensive survey and introductory text on sentiment analysis and opinion mining in natural language processing.

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Sentiment Analysis and Opinion Mining

By Lei Zhang, B. LiuSynthesis Lectures on Human Language Technologies
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This is a comprehensive introductory and survey text on sentiment analysis and opinion mining, the field that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions expressed in written language. It situates the topic as one of the most active research areas in natural language processing while also drawing on data mining, Web mining, and text mining, and notes that the field has spread beyond computer science into the management and social sciences.

The authors tie the growing importance of sentiment analysis to the rise of social media such as reviews, forums, blogs, micro-blogs, Twitter, and social networks, which for the first time provide huge volumes of opinionated data in digital form. Because opinions are central to human and organizational decision-making, such systems are applied across business and social domains. The book covers key topics and recent developments with over 400 references and is suitable for courses in NLP, social media analysis, text mining, and data mining.

Abstract

This book is a comprehensive survey of sentiment analysis and opinion mining, the study of people's opinions, sentiments, attitudes, and emotions in written language. An active NLP area, it also spans data, Web, and text mining and has spread to management and social sciences due to its business and societal importance. Its growth parallels the rise of social media such as reviews, blogs, and Twitter. The text covers key topics and recent developments with over 400 references, suited to students, researchers, and practitioners.

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sentiment analysisopinion miningnatural language processingtext miningsocial media analysis
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