Identifying opinionated sentences

Authors:
Theresa Wilson;David R. Pierce;Janyce Wiebe
Affiliations:
University of Pittsburgh;The State University of New York;University of Pittsburgh
Venue:
NAACL-Demonstrations '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Demonstrations - Volume 4
Year:
2003

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Abstract

Natural language processing applications that summarize or answer questions about news and other discourse need to process information about opinions, emotions, and evaluations. For example, a question answering system that could identify opinions in the news could answer questions such as the following:Was the 2002 presidential election in Zimbabwe regarded as fair?What was the world-wide reaction to the 2001 annual U.S. report on human rights?