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:
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/C16-2030.pdf