SCIS & ISIS
SCIS & ISIS 2008
セッションID: SA-C3-1
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Counseling Request Classifying Method using Self Organizing Map
*Kazuya MeraTakumi Ichimura
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会議録・要旨集 フリー

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Recently, our life style has two kinds of communities, one is a real face-to-face communication and the other is virtual communication. In school SNS, counseling system for university students has been developed. When the system receives a request for counseling, the scheduling function assigns the counseling appointment to an appropriate counselor by the adjustment of schedules. Simultaneously, the system analyzes the contents of counseling requests from the students to classify them into three annoying patterns {living, study, and job} by morphological properties. This method analyzes the distribution of morphemes in the input text by using Self Organizing Map. The system can show the analyzing result of annoying pattern of the counseling request and its emotional degree for each category by Emotion Generation Calculation.
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© 2008 Japan Society for Fuzzy Theory and Intelligent Informatics
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