Evaluating machine learning algorithms for sentiment analysis: a comparative study to support data-driven decision making

This research investigates the accuracy and robustness of sentiment analysis models through a comparative analysis of three distinct machine learning algorithms: Bernoulli Naive Bayes, Linear Support Vector Machines, and Logistic Regression. The primary objective is to assess the performance of thes...

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Bibliographic Details

Main Authors:	Mohamad Daud, Nur Hafiza, Shafii, Nor Hayati, Md Nasir, Diana Sirmayunie, Fauzi, Nur Fatihah
Format:	Article
Language:	en
Published:	Universiti Teknologi MARA, Perlis 2025
Subjects:	Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/126930/1/126930.pdf https://ir.uitm.edu.my/id/eprint/126930/ https://journal.uitm.edu.my/ojs/index.php/JI
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