한국방송∙미디어공학회:학술대회논문집 (Proceedings of the Korean Society of Broadcast Engineers Conference)
- 한국방송공학회 2009년도 IWAIT
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- Pages.773-777
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- 2009
AN ALGORITHM FOR CLASSIFYING EMOTION OF SENTENCES AND A METHOD TO DIVIDE A TEXT INTO SOME SCENES BASED ON THE EMOTION OF SENTENCES
- Fukoshi, Hirotaka (Department of Information and Computer Sciences Toyo University) ;
- Sugimoto, Futoshi (Department of Information and Computer Sciences Toyo University) ;
- Yoneyama, Masahide (Department of Information and Computer Sciences Toyo University)
- 발행 : 2009.01.12
초록
In recent years, the field of synthesizing voice has been developed rapidly, and the technologies such as reading aloud an email or sound guidance of a car navigation system are used in various scenes of our life. The sound quality is monotonous like reading news. It is preferable for a text such as a novel to be read by the voice that expresses emotions wealthily. Therefore, we have been trying to develop a system reading aloud novels automatically that are expressed clear emotions comparatively such as juvenile literature. At first it is necessary to identify emotions expressed in a sentence in texts in order to make a computer read texts with an emotionally expressive voice. A method on the basis of the meaning interpretation that utilized artificial intelligence technology for a method to specify emotions of texts is thought, but it is very difficult with the current technology. Therefore, we propose a method to determine only emotion every sentence in a novel by a simpler way. This method determines the emotion of a sentence according to an emotion that words such as a verb in a Japanese verb sentence, and an adjective and an adverb in a adjective sentence, have. The emotional characteristics that these words have are prepared beforehand as a emotional words dictionary by us. The emotions used here are seven types: "joy," "sorrow," "anger," "surprise," "terror," "aversion" or "neutral."