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Wiley InterScience | ||||||||||||||
  Computational IntelligenceVolume 22 Issue 2, Pages 73 - 99 Published Online: 18 May 2006 © 2010 Wiley Periodicals Inc.
Abstract | References | Full Text: PDF (Size: 234K) | Related Articles | Citation Tracking  RECOGNIZING STRONG AND WEAK OPINION CLAUSES Copyright 2006 Blackwell Publishing, Inc. KEYWORDS opinion recognition • subjectivity ABSTRACTThere 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 intensity 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. We vary the learning algorithm and the feature organization to explore the effect this has on the classification task. In 10-fold cross-validation experiments using support vector regression, we achieve improvements in mean-squared error over baseline ranging from 49% to 51%. Using boosting, we achieve improvements in accuracy ranging from 23% to 96%. | 
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