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

1 Citation (Scopus)

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

Fingerprint

Mobile devices
Classifiers
emotion
computer-mediated communication
Communication
facebook
role play
interaction
Notification
Emotion
Computer-mediated Communication
Mobile Devices
Instant
Sensemaking
Interaction
Classifier
Facebook

All Science Journal Classification (ASJC) codes

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

Cite this

Wang, S. M., Li, C. H., Lo, Y. C., Huang, T. H., & Ku, L. W. (2016). Sensing emotions in text messages: An application and deployment study of EmotionPush. In COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations (pp. 141-145). (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations). Association for Computational Linguistics, ACL Anthology.
Wang, Shih Ming ; Li, Chun Hui ; Lo, Yu Chun ; Huang, Ting Hao ; Ku, Lun Wei. / Sensing emotions in text messages : An application and deployment study of EmotionPush. COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations. Association for Computational Linguistics, ACL Anthology, 2016. pp. 141-145 (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations).
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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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Wang, SM, Li, CH, Lo, YC, Huang, TH & Ku, LW 2016, Sensing emotions in text messages: An application and deployment study of EmotionPush. in COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations. COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations, Association for Computational Linguistics, ACL Anthology, pp. 141-145, 26th International Conference on Computational Linguistics, COLING 2016, Osaka, Japan, 12/11/16.

Sensing emotions in text messages : An application and deployment study of EmotionPush. / Wang, Shih Ming; Li, Chun Hui; Lo, Yu Chun; Huang, Ting Hao; Ku, Lun Wei.

COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations. Association for Computational Linguistics, ACL Anthology, 2016. p. 141-145 (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations).

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

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AB - 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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Wang SM, Li CH, Lo YC, Huang TH, Ku LW. Sensing emotions in text messages: An application and deployment study of EmotionPush. In COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations. Association for Computational Linguistics, ACL Anthology. 2016. p. 141-145. (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations).