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Opinion mining and sentiment analysis

Foundations and Trends in Information RetrievalVol. 2, No 1-2 (2008) 1 135c 2008 Bo Pang and Lillian Lee. This is a pre-publication version; thereare formatting and potentially small wording differences from the : xxxxxxOpinion mining and sentiment analysisBo Pang1and Lillian Lee21 Yahoo! Research, 701 First Ave. Sunnyvale, CA 94089, , Science Department, Cornell University, Ithaca, NY 14853, , important part of our information-gathering behavior has always been to find out what other peoplethink. With the growing availability and popularity of Opinion -rich resources such as online review sites andpersonal blogs, new opportunities and challenges arise as people now can, and do, actively use informationtechnologies to seek out and understand the opinions of others.

2.3 Applications in business and government intelligence 8 2.4 Applications across different domains 9 3 General challenges 10 3.1 Contrasts with standard fact-based textual analysis 10 3.2 Factors that make opinion mining difficult 11 4 Classification and extraction 15 Part One: Fundamentals 16 4.1 Problem formulations and key concepts 16

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