CINESENTIMENT, A Machine Learning Approach for Sentiment Analysis of Movie Reviews

Author(s)	Mr. Ayush Awasthi, Mr. Akshat Bhatnagar, Ms. Vishakha Saxena
Country	India
Abstract	The research studies on the emotion analysis in movie reviews by machine learning approach using the Random Forest Classifier. The advanced pre-processing techniques and ensemble learning have together striven for the performance of the model in handling noisy and imbalanced datasets. This study emphasizes the importance of automation and feature selection for the area of sentiment analysis which could be applied practically to fields like social networking, healthcare, and e-commerce. Hence future studies may try and incorporate deep learning for enhanced ontological understanding and extend it to multi-lingual support.
Keywords	Sentiment Analysis, Movie Reviews, Machine Learning, Random Forest, TF-IDF
Field	Computer > Data / Information
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-27
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.43140
Short DOI	https://doi.org/g9gvmg

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International Journal For Multidisciplinary Research