A method for classifying emotion of text based on emotional dictionaries for emotional reading

Authors:
Futoshi Sugimoto;Masahide Yoneyama
Affiliations:
Department of Information Computer Sciences, Toyo University, Saitama, Japan;Department of Information Computer Sciences, Toyo University, Saitama, Japan
Venue:
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Year:
2006

Citing 2
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Abstract

Representing emotional expressions in text-to-speech synthesis is an interesting subject. The ultimate purpose of our research is to develop an automatic reading system which reads text aloud such as novels with emotion. Our strategy for constructing the system is that we classify the emotion of a text in perspective based on the distribution of emotional words, and classify the emotion of a sentence based on the emotion of nouns, adjectives or verbs composed in the sentence instead of understanding the meaning of the text, and synthesize speech using partially optimum prosodic parameters.