Paper Title

Sentiment Analysis on Movie Reviews

Authors

Khanagavalle G R , Kamalishree A , Kavya Rajendran , Priya Shrinithi R

Keywords

Natural Language Processing, Deep Learning, Recurrent Neural Network, Long Short Term Memory.

Abstract

Sentiment analysis is a kind of opinion mining technique that focuses on the extraction of the emotions of people towards a specific topic using structured or unstructured data. It is one of the most vital research areas in Natural Language Processing and Text Mining in recent times. It has a wide range of applications since most of the activities happening today revolve around the opinions and feedback of people. Handling such kind of immeasurable data manually is highly impossible and there everyone finds the necessity of sentiment analysis using a deep learning algorithm. In today’s world, where numerous movies of different genres are released every day, people simply cannot afford to spend their time trying to figure out whether to go to a particular movie or not. An efficient deep learning model built using proper methodology would assist people in classifying a movie as good or bad based on the reviews it receives. To implement so, two deep learning algorithms named Recurrent Neural Networks and a variant of RNN named Long Short Term Memory are used, their performance is compared and the algorithm which gives better accuracy is determined.

How To Cite

"Sentiment Analysis on Movie Reviews", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 7, page no.5 - 10, July-2022, Available :https://ijsdr.org/papers/IJSDR2207002.pdf

Issue

Volume 7 Issue 7, July-2022

Pages : 5 - 10

Other Publication Details

Paper Reg. ID: IJSDR_200529

Published Paper Id: IJSDR2207002

Downloads: 000347343

Research Area: Computer Science & Technology 

Country: Sriperumbudur Tk., Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2207002

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2207002

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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