Extraction of Aspects from Customer Reviews using Life Long Learning

Aspect extraction is a challenging task of opinion mining. This paper proposes a novel statistical approach to make a major improvement in sentiment analysis of customer reviews. The approach is based on identification of customer opinions along with the framework of lifelong learning. It is implemented with LSA and Association rule mining. Experimental results show the effectiveness of the proposed approach.