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A cognitively based approach to affect sensing from text

Published: 29 January 2006 Publication History

Abstract

Studying the relationship between natural language and affective information as well as assessing the underpinned affective qualities of natural language are becoming crucial for improving human computer interaction. Different approaches have already been employed to "sense" affective information from text but none of those considered the cognitive structure of individual emotions and appraisal structure of those emotions adopted by emotion sensing programs. It has also been observed that previous attempts for textual affect sensing have categorized texts into a number of emotion groups, e.g. six so-called "basic" emotion proposed by Paul Ekman which we believe insufficient to classify textual emotions. Hence we propose a different approach to sense affective information from texts by applying the cognitive theory of emotions known as OCC model [1] which distinguishes several emotion types that can be identified by assessing valenced reactions to events, agents or objects described in the texts. In particular we want to create a formal model that can not only "understand" what emotions people wrap with their textual messages, but also can make automatic empathic response with respect to the emotional state detected in the text (e.g. in a chat system). We first briefly describe relevant works and then we explain our proposal with examples. Finally we conclude with future work plans.

References

[1]
Ortony, A., Clore, G. L., & Collins, A., The Cognitive Structure of Emotions, Cambridge University Press, 1988.
[2]
Liu, H., Lieberman, H., & Selker, T., A Model of Textual Affect Sensing using Real-World Knowledge, In Proceedings of the Seventh International Conference on Intelligent User Interfaces, (IUI 2003), Miami.
[3]
Reeves, B., & Nass, C., The Media Equation. How People Treat Computers, Television and New Media Like Real People and Places (CSLI Publications, Center for the Study of Language and Information. Cambridge University Press 1998).
[4]
Boucouvalas, A. C., & Zhe, X., Text-to-emotion engine for real time internet communication. In International Symposium on CSNDSP, 2002.
[5]
De Rosis, F., & Grasso, F., Affective Text Generation. In Proc. of International Workshop on Affect in Interactions (IWAI 99), Siena, Italy, 1999.
[6]
Stock, O., & Strapparava, C., Getting Serious about the Development of Computational Humor. In Proceedings of International Joint Conference of Artificial Intelligence (IJCAI-03), Acapulco, Mexico, 2003.
[7]
Valitutti, A., Strapparava, C., & Stock, O., Developing Affective Lexical Resources, Psychology Journal, 2004, Volume 2, Number 1, 61--83.
[8]
Pennebaker, J.W., Francis, M.E., & Booth, R.J. (2001). Linguistic Inquiry and Word Count: LIWC 2001. Mahwah, NJ: Erlbaum Publishers.
[9]
ALICE official web site, http://www.alice.org

Cited By

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  • (2018)Emotion Sensitive News Agent (ESNA): A system for user centric emotion sensing from the newsWeb Intelligence and Agent Systems10.5555/1898169.18981738:4(377-396)Online publication date: 16-Dec-2018
  • (2018)SENTIMENT ASSESSMENT OF TEXT BY ANALYZING LINGUISTIC FEATURES AND CONTEXTUAL VALENCE ASSIGNMENTApplied Artificial Intelligence10.1080/0883951080222680122:6(558-601)Online publication date: 25-Dec-2018
  • (2013)Emotion Analysis of the Text Using Fuzzy Affect Typing over EmotionsContext-Aware Systems and Applications10.1007/978-3-642-36642-0_25(249-257)Online publication date: 2013
  • Show More Cited By

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Published In

cover image ACM Conferences
IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces
January 2006
392 pages
ISBN:1595932879
DOI:10.1145/1111449
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 January 2006

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Author Tags

  1. OCC model
  2. affective UI
  3. affective chat
  4. affective computing
  5. computational humor
  6. emotions

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IUI06
IUI06: 11th International Conference on Intelligent User Interfaces
January 29 - February 1, 2006
Sydney, Australia

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

View all
  • (2018)Emotion Sensitive News Agent (ESNA): A system for user centric emotion sensing from the newsWeb Intelligence and Agent Systems10.5555/1898169.18981738:4(377-396)Online publication date: 16-Dec-2018
  • (2018)SENTIMENT ASSESSMENT OF TEXT BY ANALYZING LINGUISTIC FEATURES AND CONTEXTUAL VALENCE ASSIGNMENTApplied Artificial Intelligence10.1080/0883951080222680122:6(558-601)Online publication date: 25-Dec-2018
  • (2013)Emotion Analysis of the Text Using Fuzzy Affect Typing over EmotionsContext-Aware Systems and Applications10.1007/978-3-642-36642-0_25(249-257)Online publication date: 2013
  • (2010)Introducing a cognitive methodology for the automated detection of connotative meaning in textProceedings of the American Society for Information Science and Technology10.1002/meet.2009.145046024346:1(1-14)Online publication date: 18-Nov-2010
  • (2007)Automated generation of non-verbal behavior for virtual embodied charactersProceedings of the 9th international conference on Multimodal interfaces10.1145/1322192.1322247(319-322)Online publication date: 12-Nov-2007
  • (2007)Baum-Welch Style EM Approach on Simple Bayesian Models forWeb Data AnnotationProceedings of the IEEE/WIC/ACM International Conference on Web Intelligence10.1109/WI.2007.124(736-742)Online publication date: 2-Nov-2007

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