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对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。-Text information on the classification, training and learning, with Naive Bayes algorithm.
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贝叶斯算法java实现,在贝叶斯算法思想基础上做改进，提供文本分类效率-Bias algorithm java implementation, based on the idea of Bias algorithm to improve the efficiency of text classification
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使用pyspark进行文本分类算法实现,其中使用了tf-idf表示-Use pyspark text classification algorithm, which uses the tf-idf representation
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使用python编写kNN算法，包括生成数据集，简单分类器，文本转换等简单算法。-Using python write kNN algorithms, including generating a data set, a simple classification, text conversion simple algorithm.
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TFIDF algorithm to achieve, through the input data sets and keywords to get each keyword corresponding weights to achieve text classification
TFIDF算法的实现，通过输入数据集和关键词来获取每个关键词对应的权重，实现文本分类-TFIDF algorithm to achieve, through the input data sets and
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