An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.

@article{pang2008opinion, author = {Pang, Bo and Lee, Lillian}, title = {Opinion Mining and Sentiment Analysis}, journal = {Foundations and Trends in Information Retrieval}, publisher = {Now Publishers Inc.}, address = {Hanover, MA, USA}, year = {2008}, volume = {2}, number = {1-2}, pages = {1--135}, url = {http://portal.acm.org/citation.cfm?id=1454712}, doi = {10.1561/1500000011}, issn = {1554-0669}, keywords = {sentiment, social, analysis, opinion, mining, web}, abstract = {An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.} }

%0 = article %A = Pang, Bo and Lee, Lillian %C = Hanover, MA, USA %D = 2008 %I = Now Publishers Inc. %T = Opinion Mining and Sentiment Analysis %U = http://portal.acm.org/citation.cfm?id=1454712

@article{Pang2008, author = {Pang, Bo and Lee, Lillian}, title = {Opinion mining and sentiment analysis}, journal = {Foundations and Trends® in Information Retrieval}, year = {2008}, volume = {2}, number = {1-2}, pages = {1-135}, url = {http://www.cs.cornell.edu/home/llee/omsa/omsa-published.pdf}, isbn = {978-1-60198-150-9}, keywords = {sentiment, analysis, opinion, mining, toread} }

%0 = article %A = Pang, Bo and Lee, Lillian %D = 2008 %T = Opinion mining and sentiment analysis %U = http://www.cs.cornell.edu/home/llee/omsa/omsa-published.pdf