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