Movie Sentiment Analysis using Deep Learning - RNN

Vijayakumar A; Nirsen Amal A

Title:
Movie Sentiment Analysis using Deep Learning - RNN

Authors:
Nirsen Amal A | Vijayakumar A

Cite This Article :

Nirsen Amal A | Vijayakumar A "Movie Sentiment Analysis using Deep Learning - RNN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4, June 2021, pp.891-896, URL: https://www.ijtsrd.com/papers/ijtsrd42414.pdf

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Abstract :
Sentimental analysis or opinion mining is the process of obtaining sentiments about a given textual data using various methods of deep learning algorithms. The analysis is used to determine the polarity of the data as either positive or negative. This classifications can help automate data representation in various sectors which has a public feedback structure. In this paper, we are going to perform sentiment analysis on the infamous IMDB database which consists of 50000 movie reviews, in which we perform training on 25000 instances and test it on 25000 to determine the performance of the model. The model uses a variant of RNN algorithm which is LSTM (Long Short Term Memory) which will help us a make a model which will decide the polarity between 0 and 1. This approach has an accuracy of 88.04%

Keywords :
LSTM, Recurrent Neural Networks, Sentiment Analysis, Opinion Mining

Publication Details:

Unique Identification Number : IJTSRD42414

Published In : Volume-5 | Issue-4, June 2021

Page Number(s) : 891-896

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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