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Sentiment Analysis and Opinion Mining at Meripustak

Sentiment Analysis and Opinion Mining by Bing Liu, Morgan & Claypool Publishers

Books from same Author: Bing Liu

Books from same Publisher: Morgan & Claypool Publishers

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  • General Information  
    Author(s)Bing Liu
    PublisherMorgan & Claypool Publishers
    ISBN9781608458844
    Pages167
    BindingPaperback
    LanguageEnglish
    Publish YearJune 2012

    Description

    Morgan & Claypool Publishers Sentiment Analysis and Opinion Mining by Bing Liu

    Sentiment analysis and opinion mining is the field of study that analyzes peoples 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 microblogs 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.show more



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