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基于朴素贝叶斯文本分类，准确率能达到80 ，可以作为参考。-Naive Bayes text classification, the accuracy rate can reach 80 , can be used as reference.
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能实现在单文创建对话框的分类，在对话框里设置控件-To create a dialog box in a single text classification, set the controls in the dialog box
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朴素贝叶斯方法的文本分类器方法的研究源码-Study the source code of the Naive Bayes method of text classification methods
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详细介绍了贝叶斯公式在自动文本分类领域的使用，并且提到了关于于互信息特征提取的方法。和其分类的例子。，已通过测试。
-Described in detail the use of the Bayesian formula in the field of automatic text classification, and mentioned on the mutual information feature extraction method. And the classification
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根据给出了心音的数据，设计并实现一个简单的用于文本分类的SVM。-Given heart sound data, design and implement a simple text classification SVM.
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文本分类方法总结：Swap-1方法、n-gram方法、Bayes分类-Text Categorization Method summary: Swap-1 method, the n-gram method, Bayes classification, etc.
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对文本文档进行编辑整理，有些文档的字符整理对文档的归类，进行字符处理文本文件-On text document editing, some document character collation on document classification, character processing a text file
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可对CAD中的多行文字分类求和，算出计算结果-Multiple lines of text classification in CAD sum calculate calculation
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SVM Light的多分类源代码，尤其是可用来做文本分类。SVM（支持向量机机）方法是目前已知的最优秀的分类方法之一。SVM不仅能用来分类，也能用来做回归。
-The SVM Light classification of source code, in particular, used to make text classification. SVM (support vector machine machine) method is one of the currently known
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E_learning环境下的用户兴趣模型研究与应用，很好的学习文本分类的资料-E_learning environment research and application of user interest model, good learning text classification
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基于决策树的增量学习算法相关文档，主要用于文本分类-Incremental learning algorithm based on decision tree document, mainly for text classification
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基于KNN的增量学习算法相关文档，主要用于文本分类-KNN-based incremental learning algorithm related documentation, mainly for text classification
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基于神经网络的增量学习算法的相关文献，主要用于文本分类-Literature incremental learning algorithms based on neural networks, mainly for text classification
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图像处理与识别中的文字识别,可以将文字进行分类-Character recognition, image processing and recognition text classification
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贝叶斯文本分类小算法，使用java实现，可进行简单的文本分类-Bayesian text classification algorithm, implemented using java, simple text classification
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用KNN算法实现的文本分类系统，很详细，作者很强大，尤其是对于MAP的使用，炉火纯青，值得学习，受益匪浅！-KNN algorithm with the text classification system, very detailed, the author is very strong, especially for the use of the MAP, high degree of professional proficiency, it is worth learning, benef
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基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-The newsgroup text classification algorithm based on Bayesian and KNN, the entire program can be directly imported
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这是SVM在文本分类中的应用研究，对研究生和科研人员有重要的参考价值！-SVM in text classification, an important reference value to graduate students and researchers!
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计算文本的余弦相似度，进行文本分类 。两文本相似度越接近1，越有可能被分为1类-Calculated text cosine similarity for text classification
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文本分类，包括：文本预处理，去除停用词，学习和训练，最后实现分类。-Text classification, including: text pre-processing, removal of stop words, learning and training, and finally achieve the classification.
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