Affective computing
Speech Communication - Special issue on auditory-visual speech processing
Virtual Community: Homesteading on the Electronic Frontier
Virtual Community: Homesteading on the Electronic Frontier
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Understanding how bloggers feel: recognizing affect in blog posts
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Analysis of affect expressed through the evolving language of online communication
Proceedings of the 12th international conference on Intelligent user interfaces
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Persuasion artifices to promote wellbeing
PERSUASIVE'06 Proceedings of the First international conference on Persuasive technology for human well-being
Affect analysis of text using fuzzy semantic typing
IEEE Transactions on Fuzzy Systems
User Study of AffectIM, an Emotionally Intelligent Instant Messaging System
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
iFeel_IM! Emotion Enhancing Garment for Communication in Affect Sensitive Instant Messenger
Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009
EmoHeart: Automation of Expressive Communication of Emotions in Second Life
OCSC '09 Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009
EmoHeart: conveying emotions in second life based on affect sensing from text
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Evaluating models of speaker head nods for virtual agents
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Journal of the American Society for Information Science and Technology
Affect analysis model: Novel rule-based approach to affect sensing from text
Natural Language Engineering
Affect listeners: acquisition of affective states by means of conversational systems
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Sentiment strength detection for the social web
Journal of the American Society for Information Science and Technology
Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media
ACM Transactions on Intelligent Systems and Technology (TIST)
Multimodal analysis of the implicit affective channel in computer-mediated textual communication
Proceedings of the 14th ACM international conference on Multimodal interaction
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In this paper, we address the tasks of recognition and interpretation of affect communicated through text messaging. The evolving nature of language in online conversations is a main issue in affect sensing from this media type, since sentence parsing might fail while syntactical structure analysis. The developed Affect Analysis Model was designed to handle not only correctly written text, but also informal messages written in abbreviated or expressive manner. The proposed rule-based approach processes each sentence in sequential stages, including symbolic cue processing, detection and transformation of abbreviations, sentence parsing, and word/phrase/sentence-level analyses. In a study based on 160 sentences, the system result agrees with at least two out of three human annotators in 70% of the cases. In order to reflect the detected affective information and social behaviour, an avatar was created.