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This 2012 book is written as a comprehensive introductory and survey text for sentiment analysis and opinion mining, a field of study that investigates computational techniques for analyzing text to uncover the opinions, sentiment, emotions, and evaluations expressed therein. As such, it aims to be accessible to a broad audience that includes students, researchers, and practitioners, as well as to cover all important topics in the field. With regard to the first aim, the book is very much a success: The writing is clear and concise, informative examples motivate each new topic, terminology is clearly defined, and descriptions of key algorithms are provided in the running text along with short (usually one-line) descriptions of each piece of relevant related work. The latter, in particular, makes the book an excellent platform from which to dive into the quickly expanding body of literature on sentiment and opinion analysis. In addition, I believe that the book should be easily accessible to anyone with a computer science background.

computational linguistics - association for computational linguistics

<b>Sentiment Analysis and Opinion Mining</b> <b>Bing Liu</b> (University of Illinois at Chicago) Morgan &amp; Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, 5(1)), 2012, 167 pp; paperbound, ISBN 978-1-60845-884-4

Sentiment Analysis and Opinion Mining Bing Liu (University of Illinois at Chicago) Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, 5(1)), 2012, 167 pp; paperbound, ISBN 978-1-60845-884-4