Aspect based sentiment analysis using r programming

Kumar, Akhil K V and Sai, Manikanth G V and Shetty, Nisha P and Pujari, Chetana and Aiswarya, . (2016) Aspect based sentiment analysis using r programming. In: Proceedings of Fourth International Conference on ‘Emerging Research in Computing, Information, Communication and Applications’, 29/07/2016, Bangalore.

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The customers, when they buy the products online from e-commerce websites, often tend to rate these products and give reviews on that product. This rating/review system often helps the other potential customers to decide whether to purchase that product or not. However, reading all of the available reviews on a particular product, often make the customer invest a lot of time in t his process as abundance of places such as blogs, review sites etc. contain reviews. The process of sentiment analysis aims at reducing this time of the customer by displaying the data in a compact format in the form of means, analysis score or simply histograms. The sentiment analysis procedure shown in this paper can be extended to the reviews of products in different domains. The experimental results have shown that this method exhibits better performance

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: POS tagging, Sentiment analysis, Naïve Bayes, R tool, SVM, e1071
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 20 Oct 2016 13:48
Last Modified: 20 Oct 2016 13:48

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