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bayes1
- 朴素贝叶斯法主要根据概率论中的贝叶斯法则，是一种很好的用于文本分析的机器学习算法-Naive Bayes method is a kind of machine learning algorithm based on the theory of probability, which is a good machine learning algorithm for text analysis.
textclassify.tar
- 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
bys
- 本文主要描述了朴素贝叶斯分类方法，包括模型导出和学习描述。实例部分总结了《machine learning in action》一书中展示的一个该方法用于句子感情色彩分类的程序。1 方法概述 学习（参数估计） 实现：朴素贝叶斯下的文本分类-This paper describes the naive Bayesian classification methods, including export and learning descr iptive model. Example
fenciledebeiyesi
- 中文文本分词系统+基于贝叶斯算法的文本分类源码，用matlab实现。-Chinese word segmentation system+ based on Bayes text classification source code, using matlab implementation.
algorithm
- In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. Naive Bayes has been studied extensively since the 19
朴素贝叶斯
- 借助朴素贝叶斯算法，针对文本正负面进行判别，并且利用C#进行编程实现(The naive Bayes algorithm is used to judge the positive and negative sides of the text, and the program is implemented by using C#)
text_classification.tar
- 用python实现的问题分类算法，包括贝叶斯，svm,决策树，xgboost,对入门文本分类的同学有一定的帮助(text classification algrithom,include svm,dt,xgboost,bayes,that important to learner about text classification)
nb
- 朴素贝叶斯分类分为两步： ① 计算特征项和所属类别之间的概率; ② 判断文本dj是否属于类别ci的概率 本代码为训练阶段(Naive Bayes classification is divided into two steps: 1 Calculate the probability between the feature item and its own category; 2 The probability of judging whether the text dj belong