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机译:一种使用Na ve Bayes进行文本分类的术语加权方案
Key Laboratory of Intelligent Information Processing of Jilin Universities School of Computer Science and Information Technology Northeast Normal University Changchun 130117 China;
Key Laboratory of Intelligent Information Processing of Jilin Universities School of Computer Science and Information Technology Northeast Normal University Changchun 130117 China;
Key Laboratory of Intelligent Information Processing of Jilin Universities School of Computer Science and Information Technology Northeast Normal University Changchun 130117 China;
Key Laboratory of Intelligent Information Processing of Jilin Universities School of Computer Science and Information Technology Northeast Normal University Changchun 130117 China;
Na?ve Bayes; Supervised Term Weighting; Text Classification; Term Event; Term Frequency;
机译:一种使用Na ve Bayes进行文本分类的术语加权方案
机译:用于基于术语加权方案的文本分类,基于基于术语的改进的TF-IDF用于互联网媒体报告
机译:基于逆分类频率的监督术语加权方案用于文本分类
机译:有效文本分类的基于图表的基于术语加权方案
机译:通过支持术语的单个基于文档的术语加权方案。
机译:相关性流行度:基于术语事件模型的文本分类特征选择方案
机译:用于基于术语加权方案的文本分类,基于基于术语的改进的TF-IDF用于互联网媒体报告