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AAAI 2004

Just How Mad Are You? Finding Strong and Weak Opinion Clauses

Conference Paper User Modeling Artificial Intelligence

Abstract

There has been a recent swell of interest in the automatic identification and extraction of opinions and emotions in text. In this paper, we present the first experimental results classifying the strength of opinions and other types of subjectivity and classifying the subjectivity of deeply nested clauses. We use a wide range of features, including new syntactic features developed for opinion recognition. In 10-fold crossvalidation experiments using support vector regression, we achieve improvements in mean-squared error over baseline ranging from 57% to 64%.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
104192466902187656