International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 134 | Views: 325

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 10, October 2016 | Rating: 6.8 / 10


Extraction of Aspects from Customer Reviews using Life Long Learning

Mily Lal [2] | Akanksha Goel [2]


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


Edition: Volume 5 Issue 10, October 2016,


Pages: 150 - 152





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