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CLASSIFYING METHOD USING A PROBABILITY LABELE ANNOTATION ALGORITHM USING FUZZY CATEGORY REPRESENTATION
CLASSIFYING METHOD USING A PROBABILITY LABELE ANNOTATION ALGORITHM USING FUZZY CATEGORY REPRESENTATION
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机译:基于模糊类别表示的概率LABELE算法的分类方法
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摘要
Disclosed is a classification method using probability label annotation algorithm using fuzzy category representation. The classification method comprises the steps of: reading a learning corpus for classification purposes from database; generating a label corresponding to a classification value by using dictionary information for the learning corpus; annotating the generated label to the learning corpus to generate a silver corpus; and generating a novel learning corpus by performing learning using a convolutional neural network (CNN) learning model for natural language processing for the silver corpus.
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