Sentimental Analysis on YouTube Video Platform

Meda Sai Harini Rekha, L. Rajeswari, V. Leena Parimala, B. Charitha, A. Divya Hari Chandana

2025

Abstract

Due to its great success rate, YouTube is increasingly used as a platform for content creation and consumption. Now, it has become more of a necessity to identify user behavior, content trends, and engagement patterns. This study has a main feature which is a machine learning technique that uses YouTube data to provide deep insights into video performance, audience preferences, and the growth strategies of channels. The machine model is then used through which various features such as views, likes; comments, watch time, and video metadata are extracted to predict the key metrics of the success of the video, the engagement rates, and the audience retention. The system also makes use of some clustering techniques so as to define content categories and user behavior patterns. On the other hand, regression and classification models rely on data with a track record to assist them in predicting the success of a video. Similarly, the text analysis on comments completed by users allows them to know their feelings, which in turn, helps them improve their content strategies. And the deep learning methods of Natural Language Processing (NLP) are perfected for keyword optimization based on the video descriptions and titles. To confirm the validity of our approach, we run some experiments that actually show the models capability to be very useful for content creators, advertisers, and platform admins. This take uses a data-driven framework that helps in the process of optimizing content creation, which in turn aims to enhance viewer engagement and improve the total user experience on YouTube.

Paper Citation

in Harvard Style

Rekha M., Rajeswari L., Parimala V., Charitha B. and Chandana A. (2025). Sentimental Analysis on YouTube Video Platform. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 842-849. DOI: 10.5220/0013874400004919

in Bibtex Style

@conference{icrdicct`2525,
author={Meda Rekha and L. Rajeswari and V. Parimala and B. Charitha and A. Chandana},
title={Sentimental Analysis on YouTube Video Platform},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={842-849},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013874400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Sentimental Analysis on YouTube Video Platform
SN - 978-989-758-777-1
AU - Rekha M.
AU - Rajeswari L.
AU - Parimala V.
AU - Charitha B.
AU - Chandana A.
PY - 2025
SP - 842
EP - 849
DO - 10.5220/0013874400004919
PB - SciTePress