A cognitively based approach to affect sensing from text

Mostafa Al Masum Shaikh, Prendinger Helmut, Mitsuru Ishizuka

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルInternational Conference on Intelligent User Interfaces, Proceedings IUI
ページ303-305
ページ数3
2006
出版ステータスPublished - 2006
外部発表はい
イベントIUI 06 - 2006 International Conference on Intelligent User Interfaces - Sydney
継続期間: 2005 1 292005 2 1

Other

OtherIUI 06 - 2006 International Conference on Intelligent User Interfaces
CitySydney
Period05/1/2905/2/1

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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