Paper: Extracting and Ranking Product Features in Opinion Documents

ACL ID C10-2167
Title Extracting and Ranking Product Features in Opinion Documents
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

An important task of opinion mining is to extract people’s opinions on features of an entity. For example, the sentence, “I love the GPS function of Motorola Droid” expresses a positive opinion on the “GPS function” of the Motorola phone. “GPS function” is the feature. This paper focuses on mining features. Double propagation is a state-of-the-art technique for solving the problem. It works well for medium-size corpora. However, for large and small corpora, it can result in low precision and low re- call. To deal with these two problems, two improvements based on part-whole and “no” patterns are introduced to in- crease the recall. Then feature ranking is applied to the extracted feature candi- dates to improve the precision of the top-ranked candidates. We...