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本程序实现了基于朴素贝叶斯方法的文本分类,附有源代码、实验报告、可执行程序以及语料库(包括训练集和测试集) -This procedure implements the text-based Naive Bayes classification method, with source code, test reports, executables and corpus (including the training set and test set)
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java code for text classification
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Java 实现的文本分类工具,包含语料库和实例代码。-Java implementation of text classification tools, including the corpus and the example code.
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关于自然语言处理、机器学习的一个开源软件。-MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
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文本分类学习的好例子,用java调用weka进行中文文本本分类的源码-text classification code
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基于朴素贝叶斯的文本分类java源代码,实现基础的文本分类功能-Naive Bayes text classification based on java source code, text-based classification
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基于LDA(Latent Dirichlet Allocation)的文本分类处理,开始学习和接触了LDA,因为代码采用的是Java,LDA开源工具是JGibbLDA,这个是LDA的Java版本实现-Based on the LDA (Latent Dirichlet Allocation) of the text classification process, started learning and exposure to LDA, because the code uses Java, L
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