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Sentiment Analysis of Movie Reviews using Machine Learning Techniques

by Palak Baid, Apoorva Gupta, Neelam Chaplot
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 7
Year of Publication: 2017
Authors: Palak Baid, Apoorva Gupta, Neelam Chaplot
10.5120/ijca2017916005

Palak Baid, Apoorva Gupta, Neelam Chaplot . Sentiment Analysis of Movie Reviews using Machine Learning Techniques. International Journal of Computer Applications. 179, 7 ( Dec 2017), 45-49. DOI=10.5120/ijca2017916005

@article{ 10.5120/ijca2017916005,
author = { Palak Baid, Apoorva Gupta, Neelam Chaplot },
title = { Sentiment Analysis of Movie Reviews using Machine Learning Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 7 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 45-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number7/28752-2017916005/ },
doi = { 10.5120/ijca2017916005 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:54:45.417729+05:30
%A Palak Baid
%A Apoorva Gupta
%A Neelam Chaplot
%T Sentiment Analysis of Movie Reviews using Machine Learning Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 7
%P 45-49
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sentiment analysis is the analysis of emotions and opinions from any form of text. Sentiment analysis is also termed as opinion mining. Sentiment analysis of the data is very useful to express the opinion of the mass or group or any individual. This technique is used to find the sentiment of the person with respect to a given source of content. Social media and other online platforms contain a huge amount of the data in the form of tweets, blogs, and updates on the status, posts, etc. In this paper, we have analyzed the Movie reviews using various techniques like Naïve Bayes, K-Nearest Neighbour and Random Forest.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sentiment Analysis Opinion Mining Movies Reviews Naive Bayes K-Nearest Neighbour Random Forest.

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