IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Recognition of affect, judgment, and appreciation in text
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Planning Small Talk behavior with cultural influences for multiagent systems
Computer Speech and Language
Exploitation of Contextual Affect-Sensing and Dynamic Relationship Interpretation
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
The Semantic Vectors Package: New Algorithms and Public Tools for Distributional Semantics
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
Smile When You Read This, Whether You Like It or Not: Conceptual Challenges to Affect Detection
IEEE Transactions on Affective Computing
Towards more comprehensive listening behavior: beyond the bobble head
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
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Affect interpretation from multithreaded online conversations is a challenging task. Understanding context and identifying target audiences are very crucial for the appropriate interpretation of emotions implied in an individual input embedded in such online social interactions. In this paper, we discuss how context is used to interpret affect implied in conversational inputs with weak affect indicators embedded in multithreaded social interactions. Topic theme detection using latent semantic analysis is applied to such inputs to identify their discussion themes and potential target audiences. Relationships between characters are also taken into account for affect analysis. Such semantic interpretation of the dialogue context also shows great potential in the recognition of metaphorical phenomena and the development of a personalized intelligent tutor for drama improvisation.