Just how mad are you? finding strong and weak opinion clauses
Theresa Wilson, Janyce Wiebe, Rebecca Hwa · 2004
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 classi-fying 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 fea-tures developed for opinion recognition. In 10-fold cross-validation experiments using support vector regression, we achieve improvements in mean-squared error over baseline ranging from 57 % to 64%.