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Issue No.04 - July/August (2010 vol.25)
pp: 72-79
<p>Opinion mining, a subdiscipline within data mining and computational linguistics, refers to the computational techniques for extracting, classifying, understanding, and assessing the opinions expressed in various online news sources, social media comments, and other user-generated content. This Trends &#x0026; Controversies department and the previous one include articles on opinion mining from distinguished experts in computer science and information systems. Each article presents a unique innovative research framework, computational methods, and selected results and examples.</p>
opinion mining, sentiment analysis, sentiment quantification, sentiment classification, intelligent systems, intelligent feature selection, Epinions, Edmunds, Rotten Tomatoes
"AI and Opinion Mining, Part 2", IEEE Intelligent Systems, vol.25, no. 4, pp. 72-79, July/August 2010, doi:10.1109/MIS.2010.94
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3. G. Forman, "Quantifying Counts and Costs via Classification," Data Mining and Knowledge Discovery, vol. 17, no. 2, 2008, pp. 164–206.
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5. T. Joachims, "A Support Vector Method for Multivariate Performance Measures," Proc. 22nd Int'l Conf. Machine Learning (ICML 05), ACM Press, 2005, pp. 377–384.
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