Extraction of Aspects from Customer Reviews using Life Long Learning
Abstract: 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.
Keywords: aspect extraction, opinion mining, opinion word, Sentiment analysis, Life Long Learning
How to Cite?: Mily Lal, Akanksha Goel, "Extraction of Aspects from Customer Reviews using Life Long Learning", Volume 5 Issue 10, October 2016, International Journal of Science and Research (IJSR), Pages: 150-152, https://www.ijsr.net/getabstract.php?paperid=ART20162039, DOI: https://dx.doi.org/10.21275/ART20162039