Abstract
The paper presents a novel method for determining contextual polarity of ambiguous opinion words. The task of categorizing polarity of opinion words is cast as an information retrieval problem. The advantage of the approach is that it does not rely on hand-crafted rules and opinion lexicons. Evaluation on a set of polarity-ambiguous adjectives as well as a set of both ambiguous and unambiguous adjectives shows improvements compared to a context-independent method. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Vechtomova, O., Suleman, K., & Thomas, J. (2014). An information retrieval-based approach to determining contextual opinion polarity of words. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8416 LNCS, pp. 553–559). Springer Verlag. https://doi.org/10.1007/978-3-319-06028-6_56
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