libsvm工具箱，用于分类的绝佳工具，也可用于非线性回归及预测，或拟合，其中文本分类是其长项，回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a ve

用libSVM实现的文本分类，包括训练集导入，训练，生成模型，测试，计算准确率和召回率-Text using libsvm to achieve the classification, including the training set import, training, generation model, test, calculate the precision and recall rate

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

svm文本分类，简单易行，内有详细说明，可以参考(SVM text categorization, simple and easy, detailed descr iption)