Capturing user sentiments for online Indian movie reviews.
Journal article
Authors | Trivedi, Shrawan Kumar, Dey, Shubhamoy and Kumar, Anil |
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Abstract | Sentiment analysis and opinion mining are emerging areas of research for analysing Web data and capturing users’ sentiments. This research aims to present sentiment analysis of an Indian movie review corpus using natural language processing and various machine learning classifiers. In this paper, a comparative study between three machine learning classifiers (Bayesian, naïve Bayesian and support vector machine [SVM]) was performed. All the classifiers were trained on the words/features of the corpus extracted, using five different feature selection algorithms (Chi-square, info-gain, gain ratio, one-R and relief-F [RF] attributes), and a comparative study was performed between them. The classifiers and feature selection approaches were evaluated using different metrics (F-value, false-positive [FP] rate and training time).The results of this study show that, for the maximum number of features, the RF feature selection approach was found to be the best, with better F-values, a low FP rate and less time needed to train the classifiers, whereas for the least number of features, one-R was better than RF. When the evaluation was performed for machine learning classifiers, SVM was found to be superior, although the Bayesian classifier was comparable with SVM. This is a novel research where Indian review data were collected and then a classification model for sentiment polarity (positive/negative) was constructed. |
Keywords | Opinion mining; Indian movie reviews; Machine learning classifiers; User sentiment analysis |
Year | 2018 |
Journal | The Electronic Library |
Publisher | Emerald Insight |
ISSN | 0264-0473 |
Digital Object Identifier (DOI) | https://doi.org/10.1108/EL-04-2017-0075 |
Web address (URL) | http://hdl.handle.net/10545/623307 |
hdl:10545/623307 | |
Publication dates | 06 Aug 2018 |
Publication process dates | |
Deposited | 17 Jan 2019, 10:22 |
Accepted | 22 Nov 2017 |
Rights | Archived with thanks to The Electronic Library |
Contributors | Indian Institute of Management Sirmaur, Sirmaur, India, Indian Institute of Management Indore, Indore, India, University of Derby, Department of IT and Systems, Indian Institute of Management Sirmaur, Sirmaur, India, Department of Information Systems, Indian Institute of Management Indore, Indore, India and Department of Decision Science, BML Munjal University, Gurgaon, India |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/94xv8/capturing-user-sentiments-for-online-indian-movie-reviews
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