Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush

October 15, 2016 Β· Declared Dead Β· πŸ› International Conference on Computational Linguistics

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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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