A Survey on Opinion Mining Methods from Online Reviews
Keywords:
opinion mining, e-commerce technology, WTM, POS, Part-of-Speech Tagging, Latent Dirichlet AllocationAbstract
Now-a-days e-commerce becomes more mature and number of reviews about product grows as well with it. So, it is difficult for a customer to browse through large number of reviews for item of interest and make a decision about the product. For manufacturer, it’s also difficult to keep track of the product reviews. Using opinion mining the process becomes easier for customers as well as manufacturers to keep track of the product reviews. This paper analyzing the existing methods for opinion mining from online customer reviews, and the analysis and conclusion would be helpful in obtaining a method, that could give better opinion mining results and overcoming the existing limitation.
References
- Gaurav Dubey, Ajay Rana, Naveen Kumar Shukla, “User Reviews Data Analysis using Opinion Mining on Web”, In 2015, IEEE.
- LiZhen Liu, WenTao Wang, HangShi Wang, “Summarizing Customer Reviews Based On Product Feature”, In 2012, IEEE.
- Kang Liu, Liheng Xu, Jun Zhao, “Opinion Target Extraction Using Word-Based Translation Model”, In 2012, Joint Conference Empirical Methods Natural Language Processing Computer Natural Language Learning
- A.Jeyapriya, C.S.KanimozhiSelvi, “Extracting Aspects and Mining Opinions in Product Reviews using Supervised Learning Algorithm”, in 2015, IEEE.
- Kang Liu,Liheng Xu and Jun Zhaao, “Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on The Word Alignment Model”, In 2015, IEEE Transaction.
- Bing Liu, “Sentimental Analysis and Opinion Mining” In 2012, Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers.
- Bo Pang, Lillian Lee, “opinion mining and sentiment analysis”, In 2008, Foundation and Trends in Information Retrieval, Volume-2.
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