Topic relatedness in evaluative information extraction
Proceedings of the 3rd International Universal Communication Symposium
Summarizing evaluative information on the web for information credibility analysis
Proceedings of the 3rd International Universal Communication Symposium
WISDOM: a web information credibility analysis system
ACLDemos '09 Proceedings of the ACL-IJCNLP 2009 Software Demonstrations
Dependency tree-based sentiment classification using CRFs with hidden variables
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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There are various opinions on the Web, and analyzing them is an important task.Although many previous studies focused on analyzing subjective evaluative expressions, objective evaluative expressions which describe positive or negative facts are also informative information.In this paper, we study extraction and classification of subjective and objective evaluative expressions on Japanese Web documents using machine learning and evaluative word dictionaries.