Year: 2025
Type: article
Abstract: 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.
Institution: Institute of Health Management Research Bangalore
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409237913