Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush
Shih-Ming Wang, Chun-Hui Scott Lee, Yu-Chun Lo, Ting-Hao Huang, Lun-Wei Ku
Abstract
Instant messaging and push notifications play important roles in modern digital life. To enable robust sense-making and rich context awareness in computer mediated communications, we introduce EmotionPush, a system that automatically conveys the emotion of received text with a colored push notification on mobile devices. EmotionPush is powered by state-of-the-art emotion classifiers and is deployed for Facebook Messenger clients on Android. The study showed that the system is able to help users prioritize interactions.- Anthology ID:
- C16-2030
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 141–145
- Language:
- URL:
- https://aclanthology.org/C16-2030
- DOI:
- Cite (ACL):
- Shih-Ming Wang, Chun-Hui Scott Lee, Yu-Chun Lo, Ting-Hao Huang, and Lun-Wei Ku. 2016. Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 141–145, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush (Wang et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/C16-2030.pdf