Abstract
Social media is a platform that provides information about every aspect of a person’s life. By checking up on someone’s social media handle, users can learn about their emotions, feelings, and mood. As a result, in this work, researchers can analyze social media data and model people’s emotions and moods. There are two main parts in this framework. The first ensemble classifier scheme is a machine learning tool used to recognize emotional content in data uploaded by users to social media. The second method is a graph-based in which emotional topics are plotted on a graph against people’s emotions based on data obtained from a social media platform.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
