Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

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Decoding Viewer Reactions: Sentiment and Emoji Analysis on YouTube

Authors
Satyendra Sharma1, *, Makhan Kumbhakar2, Vandit Hedau2, Vijay Baboo Gupta2
1Scholar, DAVV, Indore, India
2Professor, DAVV, Indore, India
*Corresponding author. Email: satyendra.sage@gmail.com
Corresponding Author
Satyendra Sharma
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_5How to use a DOI?
Keywords
YouTube Comments; Sentiment analysis; user engagement; emoji analysis; trending tags analysis
Abstract

In the modern digital era, YouTube comments are not only words, but they show the sentiments of the viewers with lots of insights. This paper uses YouTube API to analyze comments and extract valued information about viewer sentiments. The present study helps content creators, marketers, and decision-makers understand the audience’s reaction to the specific video(s). The exploratory data analysis has been conducted to reveal the user engagement pattern, emphasizing sentiment analysis, usage of emojis, and trending tags. The dataset used for the research focused on a motivational video that highlights the emotional influence of content and the part of emojis in the engagement of viewers. The emoji expressions and trending tag analysis have been standardized to have an inclusive view of the dynamic environment of YouTube. This paper bridges the gap between content creators, promoters, and researchers, and also makes them capable of strategy optimization to improve user experiences depending on decoded sentiments and user interactions on this comprehensive platform.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_5How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Satyendra Sharma
AU  - Makhan Kumbhakar
AU  - Vandit Hedau
AU  - Vijay Baboo Gupta
PY  - 2025
DA  - 2025/05/26
TI  - Decoding Viewer Reactions: Sentiment and Emoji Analysis on YouTube
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 53
EP  - 62
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_5
DO  - 10.2991/978-94-6463-716-8_5
ID  - Sharma2025
ER  -