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A Method for Classifying Emotion of Text Based on Emotional Dictionaries for Emotional Reading







A Method for Classifying Emotion of Text Based on Emotional
Dictionaries for Emotional Reading



Futoshi Sugimoto and Yoneyama Masahide



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. 




http://static.aminer.org/pdf/PDF/000/032/052/a_method_for_classifying_emotion_of_text_based_on_emotional.pdf


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