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AM: textual attitude analysis model

TitleAM: textual attitude analysis model
Publication TypeConference Paper
Year of Publication2010
AuthorsNeviarouskaya, A, Prendinger, H, Ishizuka, M
Conference NameNAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
PublisherAssociation for Computational Linguistics
Conference LocationLos Angeles, California
Abstract

The automatic analysis and classification of text using fine-grained attitude labels is the main task we address in our research. The developed @AM system relies on compositionality principle and a novel approach based on the rules elaborated for semantically distinct verb classes. The evaluation of our method on 1000 sentences, that describe personal experiences, showed promising results: average accuracy on fine-grained level was 62%, on middle level - 71%, and on top level - 88%.

URLhttp://portal.acm.org/citation.cfm?id=1860631.1860641