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Reseach Article

Mining Movie Intention using Bayes and Maximum Entropy Classifiers

Published on January 2018 by Varsha D. Jadhav, Sachin N. Deshmukh
International Conference on Cognitive Knowledge Engineering
Foundation of Computer Science USA
ICKE2016 - Number 2
January 2018
Authors: Varsha D. Jadhav, Sachin N. Deshmukh
3712ba78-fade-40ab-bc33-e67e49e837a7

Varsha D. Jadhav, Sachin N. Deshmukh . Mining Movie Intention using Bayes and Maximum Entropy Classifiers. International Conference on Cognitive Knowledge Engineering. ICKE2016, 2 (January 2018), 8-19.

@article{
author = { Varsha D. Jadhav, Sachin N. Deshmukh },
title = { Mining Movie Intention using Bayes and Maximum Entropy Classifiers },
journal = { International Conference on Cognitive Knowledge Engineering },
issue_date = { January 2018 },
volume = { ICKE2016 },
number = { 2 },
month = { January },
year = { 2018 },
issn = 0975-8887,
pages = { 8-19 },
numpages = 12,
url = { /proceedings/icke2016/number2/28951-6065/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Cognitive Knowledge Engineering
%A Varsha D. Jadhav
%A Sachin N. Deshmukh
%T Mining Movie Intention using Bayes and Maximum Entropy Classifiers
%J International Conference on Cognitive Knowledge Engineering
%@ 0975-8887
%V ICKE2016
%N 2
%P 8-19
%D 2018
%I International Journal of Computer Applications
Abstract

Sentiment analysis is becoming one of the most thoughtful research areas for prediction and classification. This paper analyzes and predicts the result for movie reviews. Machine learning techniques Bayes and Maximum entropy for classifying text messages. Movie comments from twitter are retrieved. The two classifiers are analyzed for Hindi movies 'Sultan' and 'Madaari. ' Tweets before and after the release of the movie are retrieved. Accuracy is evaluated to compare the Bayes and Maximum entropy methods. R technology is used for the movie review analysis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Bayes Maximum Entropy Polarity Emotions Mean Absolute Error