Characterizing the subjectivity of topics

Authors:
Marc-Allen Cartright;Elif Aktolga;Jeffrey Dalton
Affiliations:
University of Massachusetts Amherst, Amherst, MA, USA;University of Massachusetts Amherst, Amherst, MA, USA;University of Massachusetts Amherst, Amherst, MA, USA
Venue:
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Year:
2009

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Just how mad are you? finding strong and weak opinion clauses

AAAI'04 Proceedings of the 19th national conference on Artifical intelligence

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Abstract

A document or web page in isolation may appear completely reasonable, but may represent a biased perspective on the topic being discussed. Given the topic of a document, we propose new metrics provocativeness and balance that suggest when the topic could be controversial. We explore the use of these metrics to characterize the subjectivity of the topics in the TREC Blog Track.