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Issue No.03 - May/June (2010 vol.25)
pp: 74-80
Hsinchun Chen , University of Arizona
David Zimbra , University of Arizona
ABSTRACT
<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 next include three 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>
INDEX TERMS
opinion mining, Web 2.0, Wal-Mart, sentiment analysis, intelligent systems
CITATION
Hsinchun Chen, David Zimbra, "AI and Opinion Mining", IEEE Intelligent Systems, vol.25, no. 3, pp. 74-80, May/June 2010, doi:10.1109/MIS.2010.75
REFERENCES
1. A. Abbasi et al., "Affect Analysis of Web Forums and Blogs using Correlation Ensembles," IEEE Trans. Knowledge and Data Eng., vol. 20, no. 9, 2008, pp. 1168–1180.
2. A. Esuli and F. Sebastiani, "SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining," Proc. 5th Conf. Language Resources and Evaluation (LREC), 2006, pp. 417–422.
3. H. Chen, Intelligence and Security Informatics for International Security, Springer, 2006.
4. J. Nye, Soft Power: The Means to Success in World Politics, PublicAffairs, 2004.
5. H. Chen, "Business and Market Intelligence 2.0," IEEE Intelligent Systems, vol. 25, no. 1, 2010, pp. 68–71.
6. W. Antweiler and M. Frank, "Is All that Talk Just Noise? The Information Content of Internet Stock Message Boards," J. Finance, vol. 59, no. 3, 2004, pp. 1259–1295.
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