Enhancing YouTube Comment Insights: A Machine Learning Approach to Sentiment Analysis

Dipika Raigar, Poonam Chapke, Pranav Dangare, Pratik Dhagude, Varsha Malode

2025

Abstract

As YouTube channels grow, they receive large volumes of comments that provide valuable feedback, crucial for understanding audience sentiment and improving engagement. However, existing sentiment analysis approaches focus only on single-language positive/negative classification, and struggle with the informal language in YouTube comments. This project addresses these limitations by building a system to classify comments based on sentiment (positive, negative, neutral) and sentence types, using advanced NLP techniques and machine learning models. Our system will support multilingual analysis, increasing accessibility, and its performance will be evaluated using cross-validation and F1 scores to help creators improve their contents.

Paper Citation

in Harvard Style

Raigar D., Chapke P., Dangare P., Dhagude P. and Malode V. (2025). Enhancing YouTube Comment Insights: A Machine Learning Approach to Sentiment Analysis. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 930-933. DOI: 10.5220/0013735100004664

in Bibtex Style

@conference{incoft25,
author={Dipika Raigar and Poonam Chapke and Pranav Dangare and Pratik Dhagude and Varsha Malode},
title={Enhancing YouTube Comment Insights: A Machine Learning Approach to Sentiment Analysis},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={930-933},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013735100004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Enhancing YouTube Comment Insights: A Machine Learning Approach to Sentiment Analysis
SN - 978-989-758-763-4
AU - Raigar D.
AU - Chapke P.
AU - Dangare P.
AU - Dhagude P.
AU - Malode V.
PY - 2025
SP - 930
EP - 933
DO - 10.5220/0013735100004664
PB - SciTePress