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<?xml version="1.0" standalone="yes"?> <Paper uid="H05-1073"> <Title>Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), pages 579-586, Vancouver, October 2005. c(c)2005 Association for Computational Linguistics Emotions from text: machine learning for text-based emotion prediction</Title> <Section position="12" start_page="585" end_page="585" type="concl"> <SectionTitle> 7 Conclusion </SectionTitle> <Paragraph position="0"> This paper has discussed an empirical study of the text-based emotion prediction problem in the domain of children's fairy tales, with child-directed expressive text-to-speech synthesis as goal. Besides reporting on encouraging results in a first set of computational experiments using supervised machine learning, we have set forth a research agenda for tackling the TEP problem more comprehensively.</Paragraph> </Section> class="xml-element"></Paper>