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

Experimental results using reviews from five different domains show that the proposed constrained semi-supervised learning method is competent for the task and outperforms the original EM and the state-of-the-art existing methods by a large margin.

Abstract

In opinion mining of product reviews, one often wants to produce a summary of opinions based on product features/attributes. However, 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 semisupervised learning method to solve the problem. Experimental results using reviews from five different domains show that the proposed method is competent for the task. It outperforms the original EM and the state-of-the-art