Sentiment Analysis Of Movie Review Using Machine Learning

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Anshika Gupta
Sweta Pandey
Mandakini Priyadarshani Behera
Subhashree Darshana
Adyasha Dash

Abstract

This research applies sentiment analysis techniques to classify movie reviews from IMDB as positive or negative. The research involved analyzing sentiment analysis papers, studying classification algorithms, and collecting IMDB movie review data. The study utilizes or implements machine learning models like  KNN, SVM, Logistic Regression, and Random Forest on preprocessed movie review text. Key steps include feature extraction, sentiment expression examination, feature ranking, and training a multilevel classifier. By leveraging these methods, the approach achieves great accuracy in correctly classifying the sentiment polarity of IMDB movie reviews, demonstrating its effectiveness for this opinion-mining task on review data.

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How to Cite
Anshika Gupta, Sweta Pandey, Mandakini Priyadarshani Behera, Subhashree Darshana, & Adyasha Dash. (2023). Sentiment Analysis Of Movie Review Using Machine Learning. Educational Administration: Theory and Practice, 29(4), 1724–1734. https://doi.org/10.53555/kuey.v29i4.6616
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Author Biographies

Anshika Gupta

School of Computer-Engineering, KIIT (Deemed) University, Bhubaneswar, Odisha, India 751024

Sweta Pandey

School of Computer-Engineering, KIIT (Deemed) University, Bhubaneswar, Odisha, India 751024

Mandakini Priyadarshani Behera

School of Computer-Engineering, KIIT (Deemed) University, Bhubaneswar, Odisha, India 751024

Subhashree Darshana

School of Computer-Engineering, KIIT (Deemed) University, Bhubaneswar, Odisha, India 751024

 

Adyasha Dash

School of Computer-Engineering, KIIT (Deemed) University, Bhubaneswar, Odisha, India 751024

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