Do You Feel What I Feel? Social Aspects of Emotions in Twitter Conversations

Authors

  • Suin Kim KAIST
  • JinYeong Bak KAIST
  • Alice Oh KAIST

Keywords:

Emotion Analysis, Conversation Patterns, Microblog, Topic Modeling

Abstract

We present a computational framework for understanding the social aspects of emotions in Twitter conversations. Using unannotated data and semisupervised machine learning, we look at emotional transitions, emotional influences among the conversation partners, and patterns in the overall emotional exchanges. We find that conversational partners usually express the same emotion, which we name Emotion accommodation, but when they do not, one of the conversational partners tends to respond with a positive emotion. We also show that tweets containing sympathy, apology, and complaint are significant emotion influencers. We verify the emotion classification part of our framework by a human-annotated corpus.

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Published

2021-08-03

How to Cite

Kim, S., Bak, J., & Oh, A. (2021). Do You Feel What I Feel? Social Aspects of Emotions in Twitter Conversations. Proceedings of the International AAAI Conference on Web and Social Media, 6(1), 495-498. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14310