[Corpora-List] (New Book) Sentiment Analysis and Opinion Mining, by Bing Liu
Graeme Hirst
gh at cs.toronto.edu
Mon Jun 25 18:55:33 UTC 2012
New Book by Morgan & Claypool Publishers
Sentiment Analysis and Opinion Mining
Bing Liu, University of Illinois at Chicago
May 2012
Available for download here:
http://www.morganclaypool.com/doi/abs/10.2200/S00416ED1V01Y201204HLT016
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.
Table of 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
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In the series, Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, University of Toronto: http://www.morganclaypool.com/toc/hlt/1/1
This title is available online, free of charge to members of institutions that that have licensed the Synthesis Digital Library of Engineering and Computer Science. Use of this book as a course text is encouraged and the text may be downloaded without restriction at licensed institutions or after a one-time fee of $30.00 at non-licensed schools. To find out whether your institution is a licensed, visit <http://www.morganclaypool.com/page/licensed> or follow the links above and attempt to download the PDF.
A print copy of this book can also be purchased directly from the Morgan & Claypool Bookstore (http://secure.aidcvt.com/mcp/) for $40.00 USD or from Amazon and other booksellers worldwide.
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