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From sentence to emotion: a real-time three-dimensional graphics metaphor of emotions extracted from text
Abstract: This paper presents a novel concept: a graphical representation of human emotion extracted from text sentences. The major contributions of this paper are the following. First, we present a pipeline that extracts, processes, and renders emotion of 3D virtual human (VH). The extraction of emotion is based on data mining statistic of large cyberspace databases. Second, we propose methods to optimize this computational pipeline so that real-time virtual reality rendering can be achieved on common PCs. Third, we use the Poisson distribution to transfer database extracted lexical and language parameters into coherent intensities of valence and arousal—parameters of Russell's circumplex model of emotion. The last contribution is a practical color interpretation of emotion that influences the emotional aspect of rendered VHs. To test our method's efficiency, computational statistics related to classical or untypical cases of emotion are provided. In order to evaluate our approach, we applied our method to diverse areas such as cyberspace forums, comics, and theater dialogs
URL: http://doc.rero.ch/record/310394/files/371_2010_Article_446.pdf
BASE
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2
Professional search in the modern world: COST Action IC1002 on multilingual and multifaceted interactive information access
BASE
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3
Collection-integral source selection for uncooperative distributed information retrieval environments
In: Information sciences. - New York, NY : Elsevier Science Inc. 180 (2010) 14, 2763-2776
OLC Linguistik
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4
A study of information retrieval weighting schemes for sentiment analysis
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1386-1395
BLLDB
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