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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 4, APRIL 2022

Sentiment Analysis of Movie Reviews Using Machine Learning Techniques

Nikita Verma, Ritik Kaushik, Sumit Tyagi, Raman Dahiya

DOI: 10.17148/IJARCCE.2022.11419

Abstract: Sentimental analysis is the analysis of opinions and emotions from any type of message or text. Sentimental analysis of the data is very helpful to convey the emotion of the majority or particular individual. It is also called opinion mining. This technique is performed to find the sentiment of the individual for a given source of content. Online platforms like social media contain a high volume of data in the form of reviews, tweets, comments, blogs, etc. This paper analyzes the movie reviews using various methods such as KNN, Naive Bayes, LSTM, and Random Forest Classifier.

Keywords: Dataset, Sentiment Analysis, Reviews, K-Nearest Neighbor, Naive Bayes.

How to Cite:

[1] Nikita Verma, Ritik Kaushik, Sumit Tyagi, Raman Dahiya, “Sentiment Analysis of Movie Reviews Using Machine Learning Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11419