Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush
October 15, 2016 Β· Declared Dead Β· π International Conference on Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Shih-Ming Wang, Chun-Hui Li, Yu-Chun Lo, Ting-Hao K. Huang, Lun-Wei Ku
arXiv ID
1610.04758
Category
cs.HC: Human-Computer Interaction
Citations
10
Venue
International Conference on Computational Linguistics
Last Checked
6 months ago
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.
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