Machine learning classifiers: Evaluation of the performance in online reviews

Pak, Irina * and Teh, Phoey Lee * (2016) Machine learning classifiers: Evaluation of the performance in online reviews. Indian Journal of Science and Technology, 9 (45). pp. 1-9. ISSN 0974-5645

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Abstract

This paper aims to evaluate the performance of the machine learning classifiers and identify the most suitable classifier for classifying sentiment value. The term “sentiment value” in this study is referring to the polarity (positive, negative or neutral) of the text. This work applies machine learning classifiers from WEKA (Waikato Environment for Knowledge Analysis) toolkit in order to perform their evaluation. WEKA toolkit is a great set of tools for data mining and classification. The performance of the machine learning classifiers was measured by examining overall accuracy, recall, precision, kappa statistic and applying few visualization techniques. Finally, the analysis is applied to find the most suitable classifier for classifying sentiment value. Results show that two classifiers from Rules and Trees categories of classifiers perform equally best comparing to the other classifiers from categories, such as Bayes, Functions, Lazy and Meta. This paper explores the performance of machine learning classifiers in sentiment value classification in the online reviews. Data used is never been used before to explore the performance of machine learning classifiers.

Item Type:	Article
Uncontrolled Keywords:	machine learning classifiers; sentiment analysis; online reviews, comments; polarity.
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General)
Divisions:	Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Depositing User:	Dr Janaki Sinnasamy
Related URLs:	Author Author
Date Deposited:	17 Feb 2017 09:18
Last Modified:	10 Jun 2019 06:08
URI:	http://eprints.sunway.edu.my/id/eprint/474

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• Machine learning classifiers: Evaluation of the performance in online reviews. (deposited 17 Feb 2017 09:11)
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