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
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
Textual Affect Sensing for Sociable and Expressive Online Communication
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Affect analysis of text using fuzzy semantic typing
IEEE Transactions on Fuzzy Systems
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
Automated Generation of Emotive Virtual Humans
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
EmoHeart: conveying emotions in second life based on affect sensing from text
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Does "Virtually being there" help? comparing collaborative work between 3D and 2D conditions
CRIWG'11 Proceedings of the 17th international conference on Collaboration and technology
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Our research addresses the tasks of recognition, interpretation and visualization of affect communicated through text messaging. In order to facilitate sensitive and expressive interaction in computer-mediated communication, we previously introduced a novel syntactical rule-based approach to affect recognition from text. The evaluation of the developed Affect Analysis Model showed promising results regarding its capability to accurately recognize affective information in text from an existing corpus of informal online conversations. To enrich the user's experience in online communication, make it enjoyable, exciting and fun, we implemented a web-based IM application, AffectIM, and endowed it with emotional intelligence by integrating the developed Affect Analysis Model. This paper describes the findings of a twenty-person study conducted with our AffectIM system. The results of the study indicated that automatic emotion recognition function can bring a high level of affective intelligence to the IM application.