Paper: Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm

ACL ID D09-1017
Title Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

This paper presents a parse-and-paraphrase pa- radigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous work provides binary polarities only (positive and negative), and the polarity of sentiment is simply reversed when a negation is detected. The extraction of lexical features such as uni- gram/bigram also complicates the sentiment classification task, as linguistic structure such as implicit long-distance dependency is often disregarded. In this paper, we propose an ap- proach to extracting adverb-adjective-noun phrases based on clause structure obtained by parsing sentences into a hierarchical represen- tation. We also propose a robust general solu- tion for modeling the contribution of adver- bia...