Analysis of affect expressed through the evolving language of online communication

Alena Neviarouskaya, Helmut Prendinger, Mitsuru Ishizuka

研究成果: Conference contribution

21 被引用数 (Scopus)

抄録

In this paper, we focus on affect recognition from text in order to facilitate sensitive and expressive communication in computer-mediated environments. Our model for analyzing affect conveyed by text is tailored to handle the style and specifics of informal online conversations. The motivation behind our approach is to improve social interactivity and emotional expressiveness of real-time messaging.In order to estimate affect in text, our model processes symbolic cues, such as emoticons, detects and transforms abbreviations, and employs natural language processing techniques for word/phrase/sentence-level analysis, e.g. by considering relations among words in a sentence. As a result of the analysis, text can be categorized into emotional states and communicative functions. A designed graphical representation of a user (avatar) displays emotions and social behaviour driven by text and performs natural idle movements. The proposed system shows promising results on affect recognition in real examples of online conversation.

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278-281
ページ数4
DOI
出版ステータスPublished - 2007
外部発表はい
イベント12th International Conference on Intelligent User Interfaces, IUI 2007 - Honolulu, HI
継続期間: 2007 1 282007 1 31

Other

Other12th International Conference on Intelligent User Interfaces, IUI 2007
CityHonolulu, HI
Period07/1/2807/1/31

ASJC Scopus subject areas

  • Computer Science(all)

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