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Sentiment Analysis of Movie Reviews: A Study of Machine Learning Algorithms with Various Feature Selection Methods

Rajwinder Kaur1 , Prince Verma2

  1. Dept. of Computer Science Engineering, CTIEMT, Jalandhar, India.
  2. Dept. of Computer Science Engineering, CTIEMT, Jalandhar, India.

Correspondence should be addressed to: dhillon.raj320@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 113-121, Sep-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i9.113121

Online published on Sep 30, 2017

Copyright © Rajwinder Kaur, Prince Verma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Rajwinder Kaur, Prince Verma, “Sentiment Analysis of Movie Reviews: A Study of Machine Learning Algorithms with Various Feature Selection Methods,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.113-121, 2017.

MLA Style Citation: Rajwinder Kaur, Prince Verma "Sentiment Analysis of Movie Reviews: A Study of Machine Learning Algorithms with Various Feature Selection Methods." International Journal of Computer Sciences and Engineering 5.9 (2017): 113-121.

APA Style Citation: Rajwinder Kaur, Prince Verma, (2017). Sentiment Analysis of Movie Reviews: A Study of Machine Learning Algorithms with Various Feature Selection Methods. International Journal of Computer Sciences and Engineering, 5(9), 113-121.

BibTex Style Citation:
@article{Kaur_2017,
author = {Rajwinder Kaur, Prince Verma},
title = {Sentiment Analysis of Movie Reviews: A Study of Machine Learning Algorithms with Various Feature Selection Methods},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2017},
volume = {5},
Issue = {9},
month = {9},
year = {2017},
issn = {2347-2693},
pages = {113-121},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1440},
doi = {https://doi.org/10.26438/ijcse/v5i9.113121}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i9.113121}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1440
TI - Sentiment Analysis of Movie Reviews: A Study of Machine Learning Algorithms with Various Feature Selection Methods
T2 - International Journal of Computer Sciences and Engineering
AU - Rajwinder Kaur, Prince Verma
PY - 2017
DA - 2017/09/30
PB - IJCSE, Indore, INDIA
SP - 113-121
IS - 9
VL - 5
SN - 2347-2693
ER -

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Abstract

Nowadays, with rapid use of internet, a very large number of reviews are posted by visitors on different website related to the various movies that describe the polarity between movies. Customers share their feelings with others in the form of comments or reviews that describe their opinion as either in negative or in positive or in neutral. Such websites are essential to people for decision making. In this paper, the sentiment analysis is done in order to analyze the movie reviews, so we use the machine learning classifier Random Forest with Gini Index based Feature Selection and also compared it with another algorithm such as SVM. The results show that Gini Index method with Random Forest classifier has better performance in terms of Accuracy, Root Mean Square Error, Precision, Recall and F-Measure.

Key-Words / Index Term

Sentiment Analysis, Related Work, Feature Selection, Classification Algorithms, Evaluation Matrices

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