What question did this study set out to answer?

The aim is to evaluate various machine learning techniques for analyzing sentiment in code-mixed social media texts.

April 4, 2026Open Access

A Comprehensive Review Of Machine Learning Approaches For Sentiment Analysis Of Code-Mixed Social Media Text

Key Points

The aim is to evaluate various machine learning techniques for analyzing sentiment in code-mixed social media texts.
Reviewed existing literature on sentiment analysis techniques using machine learning.
Compiled different experiments and their outcomes related to code-mixed text.
Analyzed the effectiveness of various algorithms in sentiment classification.
Identified key algorithms used for sentiment analysis in code-mixed texts.
Revealed strengths and weaknesses of different approaches in handling mixed languages.
Highlighted the need for more robust models to improve sentiment accuracy.

Abstract

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