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Sentiment analysis using Singular Value Decomposition


Author : Veena Dubey and Dharmendra Lal Gupta

Pages : 1409-1413
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Abstract

Customer Opinions play a very important role in our daily life. Opinions of other individuals are also very important component to take a decision. Now-a-days many of web users post their opinions for many products through blogs, review sites and social networking sites. Business organizations and corporate organizations are always eager to find consumer’s or individual’s view regarding their products, support and services. In e-commerce, online shopping and online tourism, it is very crucial to analyze the good amount of social data present on the Web automatically therefore, it is very important to create methods that automatically classify them. Sentiment Classification is another method for opinion mining which may be defined as mining and analyzing of reviews, views, emotions and opinions taken either from text, big data and speech by means of various methods. In the paper we have focused on sentiment analysis on various reviews of hotel Taj and perform singular value decomposition regression to get the estimated weights of the attributes of the hotel, which may be utilized for further rating improvement.

Keywords: Sentiment classification, customer reviews, opinion mining, singular value decomposition.

Article published in International Journal of Current Engineering and Technology, Vol.6, No.4 (Aug-2016)

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