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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM22099
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The sentiment analysis is an emerging tool that analyzes data to generate insights on a specific topic. It serves government, corporations, and consumers by providing valuable information. In this project, machine learning-based approaches are applied to determine the sentiment of IMDb user reviews, evaluating whether the remarks are positive or negative. Multiple techniques such as Logistic Regression, Decision Tree, Random Forest, Naive Bayes, and Support Vector Machines are employed to assess the polarity of sentiments in the dataset.
KEYWORDS
Publication Date
5/28/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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