An intelligent logistic regression approach for verb expression’s sentiment analysis

Abstract

Sentiment analysis of text has tremendous value in many fields. But verb expression is absent, while lots of researchers concentrate on identifying opinions from adjective, adverb, and noun expressions in recent years. In this paper, we find that verb expressions in a sentence can be more important because verb expressions not only imply opinions but also give a direct way for enterprise to improve their products. It is meaningful that the verb expressions are extracted and analyzed. In order to deal with this problem, we propose a new method of linear regression optimized by particle swarm optimization to analyze verb expression extracted from reviews. Since our training data is obtained from titles of reviews whose labels are automatically inferred from review ratings, our method is able to work without manual involvement. Experimental results demonstrate our approach has great performance in terms of both precision and efficiency.