Modeling human newspaper readers: The Fuzzy Believer approach
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Published:2012-10-12
Issue:2
Volume:20
Page:261-288
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ISSN:1351-3249
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Container-title:Natural Language Engineering
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language:en
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Short-container-title:Nat. Lang. Eng.
Author:
KRESTEL RALF,BERGLER SABINE,WITTE RENÉ
Abstract
AbstractThe growing number of publicly available information sources makes it impossible for individuals to keep track of all the various opinions on one topic. The goal of ourFuzzy Believersystem presented in this paper is to extract and analyze statements of opinion from newspaper articles. Beliefs are modeled using the fuzzy set theory, applied after Natural Language Processing-based information extraction. The Fuzzy Believer models a human agent, deciding what statements to believe or reject based on a range of configurable strategies.
Publisher
Cambridge University Press (CUP)
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software
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1 articles.
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