Home » A Study of Product Trend Analysis of Review Datasets using Naive Bayes’, K-NN and SVM Classifiers

A Study of Product Trend Analysis of Review Datasets using Naive Bayes’, K-NN and SVM Classifiers

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Sanjay Chakraborty

Dept. of Computer Science and Engineering
Institute of Engineering and Management, Kolkata, India.
Email: sanjay.chakraborty@iemcal.com

Shailesh Kumar

Dept. of Computer Science and Engineering
Institute of Engineering and Management, Kolkata, India
Email: shaileshrockstar5@gmail.com

Soudip Paul

Dept. of Computer Science and Engineering
Institute of Engineering and Management, Kolkata, India
Email: soudip.pal@gmail.com

Animesh Kairi

Dept. of Information Technology
Institute of Engineering and Management, Kolkata, India
Email: animesh.kairi@iemcal.com

Abstract

Trend analysis of datasets is one kind of text mining procedure which is a part of natural language processing. Product trend analysis is basically the method of analyzing the reviews given by the customer to a particular product. In this paper, we have used various classifier’s algorithms (such as Naive Bayes, K-NN, and SVM) to determine the positivity or negativity of the review datasets on recent market trends. It proposes that the trend of a particular product through which we can predict whether it will continue in the market or not. The whole database of this work is a collection of user reviews (such as comments, testimonials, messages etc,) from various social sites. This market trends analysis has a huge advantage in terms of monetization and profits. This approach also shows the comparison of these classifiers with respect to the feedbacks of the market data analysis. Finally, these comparisons are also included movie reviews dataset. It shows that SVM classifier performs better analysis in terms of precision, recall and accuracy parameters on the above datasets compare to the widely used K-NN and Naïve Bayes machine learning classifiers.

Keywords

K-NN;
Naïve Bayes;
Opinion Mining Classifier;
Product Trend Analysis;
SVM;
Text Mining.

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Cited as

Sanjay Chakraborty, Shailesh Kumar, Soudip Paul and Animesh Kairi, “A Study of Product Trend Analysis of Review Datasets using Naive Bayes‟, K-NN and SVM Classifiers,” International Journal of Advanced Engineering and Management, Vol. 2, No. 9, pp. 204-213, 2017.

DOI: https://doi.org/10.24999/IJOAEM/02090047

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