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简单的 knn 文本算法 ,用于中文文本分类,比较方便的方法!-Simple text knn algorithm for Chinese text classification, more convenient way!
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libsvm—3.18对于文本分类的各种程序代码-
libsvm-3.18 for a variety of text classification code
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Hadoop文本分类算法研究,实现了hadoop集群来对文本进行分类,其中主要算法为朴素贝叶斯分类算法。-Hadoop text classification algorithm to achieve a Hadoop cluster for text classification, feature extraction, weight calculation
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这是一个实现文本分类的朴素贝叶斯方法,用java语言编写-This is a realization of Naive Bayesian text classification methods, written in java language
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text classification java console application
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支持向量机,用于文本分类,这个工具包是分两类所用的-Support vector machine for text classification, this toolkit is divided into two categories used
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实现了KNN文本的分类,KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
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实现了KNN文本的分类,KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
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Blog信息源和信息量的广泛增长给中文文本分类带来了新的挑战。本文提出了—种基于PMI—IR算法的四种情感分类方法来对Blog文本进行情感分类。该方法以情感词语为中心,通过搜索引擎返回的结果来计算文本
中的情感要素和背景情感词之问的点互信息值,从而对文本进行情感分类。该方法在国家语言资源监测与研究中心网络媒体语言分中-心2008年度的Blog语料和COAE2008的语料上分别进行了测试。与传统方法相比准确率和召回率都有了较大的提高。-Development ofBIog texts info
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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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java 实现基于N-gram的文本分类算法-java based N-gram-based text classification algorithm
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贝叶斯文本分类算法在Java环境下编程的。-Bias text classification algorithm in the Java programming environment.
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朴素贝叶斯文本分类的算法实现,将文本转化为矩阵结构然后对矩阵做运算-Naive Bayes text classification algorithm, the text is converted to a matrix structure and then do the calculation matrix
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支持向量机(SVM)是在统计学习理论的基础上发展起来的新一代学习算法,该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtain a better application in the
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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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中文的贝叶斯文本分类,包含训练数据代码和代码以及使用说明。可将篇章级文本分类为教育、IT等领域。-Chinese Bayesian text classification, training data containing the code and code and instructions for use. Chapter level text can be classified as education, IT and other fields.
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Text Classification based on Naive Bayes
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支持向量机对文本进行分类,参数选择进行优化-Support vector machine SVM text classification
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最大熵模型算法,用于统计学习,文本分类,文本聚类研究-The maximum entropy model algorithm for statistical learning, text classification, text clustering research
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winnow文本分类算法 ,有全部测试集合-winnow text classification algorithm, all the test set
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