Sensing emotions in text messages: An application and deployment study of EmotionPush

Shih Ming Wang, Chun Hui Li, Yu Chun Lo, Ting Hao Huang, Lun Wei Ku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationCOLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016
Subtitle of host publicationSystem Demonstrations
PublisherAssociation for Computational Linguistics, ACL Anthology
Pages141-145
Number of pages5
ISBN (Print)9784879747037
StatePublished - Jan 1 2016
Event26th International Conference on Computational Linguistics, COLING 2016 - Osaka, Japan
Duration: Dec 11 2016Dec 16 2016

Publication series

NameCOLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations

Conference

Conference26th International Conference on Computational Linguistics, COLING 2016
CountryJapan
CityOsaka
Period12/11/1612/16/16

All Science Journal Classification (ASJC) codes

  • Linguistics and Language
  • Language and Linguistics
  • Computational Theory and Mathematics

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