Abstract
The paper presents a study on detecting emotions through sentiment analysis on social media platforms, with a focus on Twitter. With the increasing number of posts shared online, users express their opinions and feelings on various topics. This research uses machine learning models to extract and analyze the emotions behind user tweets on specific subjects. By categorizing posts into different emotional categories, this approach provides insights into user perspectives on key topics.
Published in
2023 International Conference on Integration of Computational Intelligent System (ICICIS)
Date of Conference: 01-04 November 2023
Date Added to IEEE Xplore: 19 February 2024