Paper: Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints

ACL ID C10-1143
Title Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

In opinion mining of product reviews, one of- ten wants to produce a summary of opinions based on product features/attributes. Howev- er, for the same feature, people can express it with different words and phrases. To produce a meaningful summary, these words and phrases, which are domain synonyms, need to be grouped under the same feature group. This paper proposes a constrained semi- supervised learning method to solve the prob- lem. Experimental results using reviews from five different domains show that the proposed method is competent for the task. It outper- forms the original EM and the state-of-the-art existing methods by a large margin.