Sentimental Analysis of Online Product Reviews Using Decision Tree Algorithm

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Sentimental Analysis of Online Product Reviews Using Decision Tree Algorithm

Mr. Ajith G L 1, Mr. Musheer Ahmed 2, Dr. Sanjay K S 3

Assistant Professor, Dept. of MCA PESITM, Shimoga, Karnataka

Assistant Professor, Dept. of MCA PESITM, Shimoga, Karnataka

Associate Professor & Head, Dept. of MCA PESITM, Shimoga, Karnataka

Abstract

Sentiment analysis or opinion classification aims in development of a system which can classify the reviews related to a product. The proposed model, supports to assess the product quality, marketers evaluations regarding the success of the newly launched product, also suggests that versions about the product is liked by the people. It is also helps us to the new features presents in the products and peoples most liked features related to the product. The term product mining also popularly known as opinion mining is using natural language processing – NLP, text mining, text analysis with computational linguistics for identifying and extraction of subjective information of the source materials, In this paper assessment the proposed work is measured with Multinomial Naive Bayes algorithm and Decision Tree algorithm.

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