Sentiment Patterns in YouTube Comments: A Comprehensive Analysis
The sentiment analysis system is developed for YouTube comments, capable of accurately categorizing comments into positive, negative, or neutral sentiments. The system effectively handles challenges such as informal language, slang, and diverse topics, while being scalable and adaptable to different content genres. The objective is to provide a valuable tool for content creators, marketers, and researchers to gain insights into audience sentiments on YouTube, facilitating data driven decision-making and enhancing user engagement strategies.
Authors
- Saritha Shetty
- Savitha Shetty
- Deepthi Shetty (ORCID: https://orcid.org/0000-0001-6528-4903)
- Priya Kamath B
Publication Details
- Journal
- Computer Science & Engineering An International Journal
- Published
- 2025-03-28
- DOI
- https://doi.org/10.5121/cseij.2025.15119
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 0.00