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Text classification and clustering method: Bayesian clustering and classification of text classification and clustering
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基于自定义中文词典的中文文本分类系统，自动生成影虎词典-Custom Chinese dictionary based Chinese Text Classification System
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libsvm+itics分词，可以用于文本的分类预测-libsvm+itics word that can be used for text classification prediction
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lle局部线性嵌入算法，对数据做降维处理，数学建模，文本分类方面有比较好的效果-Lle locally linear embedding algorithm, the dimension data, mathematical modeling, text classification has a good effect
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朴素贝耶稣算法进行文本分类，删除“无用词”，对训练集训练之后完成对测试集的测试，并输出测试集文档属于哪个分类-Tony simple algorithm for text classification Jesus, delete " without words" , after training set for the completion of the test set of tests and test sets the output document belongs Cat
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主要用于在文本分类中，对文本进行特征提取，是一种主题向量模型-Mainly used in text classification, text feature extraction, is a theme vector model
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面向垃圾信息过滤的主动多域学习文本分类方法研究
基于概念格的文本过滤系统的设计与实现-Research on active multi domain learning text classification method for spam filtering
Design and implementation of text filtering system based on concept lattice
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matlab实现文本分类，内含两个分类器，主要采用线性回归和神经网络-Matlab achieve text classification, containing two classifiers, mainly using linear regression and neural network
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文本分类java源代码，通过支持向量机来对文本进行自动分类处理。-Text Categorization java source code for automatic text classification by support vector machine.
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R语言文本分类中，用开方检验方法选取特征值-R language text classification, feature selection method by the chi squared test value
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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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基于朴素贝叶斯的文本分类，包含去停用词，分词，特征提取，分类等-Text classification, based libsvm, included to stop words, segmentation, feature extraction and classification
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基于spark做的文本分类，有分词、提取TFIFDF关键词特征，贝叶斯分类次，word2vector-Make text classification based spark, partakers word feature extraction TFIFDF keyword, Bayesian classification times, word2vector
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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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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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内容很多，包括文本分类、机器翻译、自然语言理解、搜索引擎、词法分析等资料-A lot of content, including text classification, machine translation, natural language understanding, search engine, lexical analysis, etc.
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面向文本分类的特征选择方法，java语言开发-Feature selection method for text classification, java language development
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klassify: Text classification service based on Redis. Built on top of Tornado and React.js
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这是简单的文本分类程序，自己训练文本词典，在根据训练出来的词典对文本进行分类。-This is a simple text classification procedures, training their own text dictionary, in the trained dictionary text classification.
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简单的文本分类，用python实现了朴素贝叶斯和SVM-Simple text classification, realized with python Naive Bayes and SVM
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