Emotion Classification

Aaditya Sinha; Ankit Kumar; Ankit Bisht; Akshat Chaudhary

Emotion Classification

Author : Aaditya Sinha, Ankit Kumar, Ankit Bisht, Akshat Chaudhary Journa Name: International Journal of Science, Engineering and Technology Country : India Volume: 12 issue: 3 Year: 2024 Views : 476

Abstract:

EmoNet, a social media platform known for its user-friendly interface and innovative features, has emerged as a prominent space for authentic self-expression, meaningful conversations, and global connection. This rapid growth has fostered a dynamic digital ecosystem where diverse communities collaborate and create. However, emotions play a critical role in social media interactions, influencing user behavior, content engagement, and community dynamics. This paper highlights the significance of emotion classification in social media. By accurately analyzing user-generated content, platforms like EmoNet can gain valuable insights into user engagement, predict trends, and personalize content recommendations. Ultimately, emotion classification empowers social media platforms to cultivate a more empathetic and inclusive online environment.