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贝叶斯分类算法，构造朴素贝叶斯分类器，对给定的中文文本进行分类,Bayesian classification algorithm, Naive Bayes classifier structure of a given Chinese text classification
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实现朴素贝叶斯文本分类器，用java实验，还包括readme和训练集-Naive Bayes text classifier to achieve with java experiments, including readme and the training set
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Boosting中的AdaBoost.M1算法在文本分类中的应用实现。使用ICTCLAS用于中文分词，弱分类器使用Naive Bayes。程序参数使用配置文件的格式。-Application of text classification using AdaBoost.M1. Use ICTCLAS tool in Chinese segment, and use Naive Bayes as the weak classifier. use the config file as the para
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基于朴素贝叶斯算法分类器，实现文本的自动分类-Based on the naive Bayes classifier, realization of automatic text classification
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朴素贝叶斯文本分类，JAVA开发的，对非数值的数据进行分类-Naive Bayes Text Classifier
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基于文本的朴素贝叶斯分类器。是一个完整的工程。具体看readme-Text-based Naive Bayes classifier. Is a complete project. Specific look at readme
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这个程序的主要功能是 文本分类，分类算法是朴素贝叶斯分类-The main function of this program is a text classification algorithm Naive Bayes classifier
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this file for naive bayes classifier for text mining
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classifier text with naive bayes method for data mining
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朴素贝叶斯分类器程序代码
采用朴素贝叶斯分类器算法，使用C++语言对英文文本进行分类，实现了一个文本分类器功能-Naive Bayesian classifier program code using Bayesian classification algorithm, using C++ language English text classification, to achieve a text classification function
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自己编写的朴素贝叶斯分类器，经实测效果不错，供文本分类的研究人员相互学习-I have written a naive Bayes classifier, measured results are good for text classification researchers learn from each other
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Classifier naive Bayes in Java
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使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation
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Naive Bayes Classifier to analyse the sentiment of English text in term of Positive and NEgative
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文本分类：朴素贝叶斯分类器例子，采用Multi-Variate Bernoulli Event Model。一个文件为训练，一个文件为测试，采用20newsgroups数据集。-Text classification: Naive Bayes classifier example, the use of Multi-Variate Bernoulli Event Model. A file for training, a file for testing, using 20newsgroups
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文本分类,朴素贝叶斯分类器,将文本分类为体育、教育等类别-Text classification, naive Bayes classifier, the text is classified as sports, education and other categories
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