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BayesClassifier.rar
- 贝叶斯分类算法，构造朴素贝叶斯分类器，对给定的中文文本进行分类,Bayesian classification algorithm, Naive Bayes classifier structure of a given Chinese text classification
基于朴素贝叶斯方法的文本分类
- 本程序实现了基于朴素贝叶斯方法的文本分类，附有源代码、实验报告、可执行程序以及语料库（包括训练集和测试集） -This procedure implements the text-based Naive Bayes classification method, with source code, test reports, executables and corpus (including the training set and test set)
BayesFileClassify
- 文本分类是在文档所包含的文本基础上， 把给定的文档分配到固定类别集合中某一个类别的任务。这个任务中常常用到朴素贝叶斯模型。-Text classification are contained in the document text, based on the given document category assigned to a fixed set of a certain type of mission. This task is often used Naive Bayes model
NaviveBayesClassify
- 基于朴素贝叶斯文本分类器 可进行简单的文本分类-Based on Naive Bayes text classification can be simple text classification
Bayes_1
- 首先，对CATEGORY中的txt文件分类； 其次，对多个txt文件中的英文文本进行分词； 最后，通过贝叶斯公式进行分类；-First, in the txt file CATEGORY classification Secondly, multiple txt files in English text word Finally, by Bayes formula to be classified
bayes
- 贝叶斯文本分类器文档贝叶斯文本分类器文档-Bayesian text classifier Bayes Text Classifier Document Document
bayes
- 实现朴素贝叶斯文本分类器，用java实验，还包括readme和训练集-Naive Bayes text classifier to achieve with java experiments, including readme and the training set
57578895BAYES
- 用基于贝叶斯的的方法对文本进行分类主要用于数据挖掘领域-Using the method based on Bayesian text classification is mainly used for data mining
NBClassify
- 人工智能。基于朴素贝叶斯的文本分类器，测试正确率较高。-Artificial intelligence. Naive Bayes text classification based on, test accuracy is higher.
Chinese-text-categorization-Study
- 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。 应用ICTCLAS 对中文文档进行分词，在大维数，多数据情况下应用TFIDF 进行 特征选择，并同时利用它实现了对特征项进行加权处理，使文本库中的每个文本 具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行 训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text ca
Bayes-genre
- 该算法的基本思路是计算文本属于类别的概率，文本属于类别的几率等于文本中每个词属于类别的几率的综合表达式-The basic idea of the algorithm is to calculate the probability that the text belongs to class, the text is equal to the probability categories are categories of each word in the text
Bayes-KNN
- 基于贝叶斯-KNN文本分类算法的设计与实现。 是贝叶斯和ＫＮＮ两种分类算法的结合。-Bayesian-KNN text categorization algorithm design and implementation. Bayes and KNN is a combination of two kinds of classification algorithms.
CPP
- 朴素贝叶斯文本 分类接口实现源码，C/C++接口实现文本分类-Naive Bayes text text classification interface implementation source code in C/C++ interface text classification
Chinese-text-based-on-Naive-Bayes-
- 一种基于情感词典和朴素贝叶斯的中文文本情感分类方法-Feelings of the Chinese text based on emotional dictionaries and Naive Bayes classification
Copy-of-bayes
- bayes 短文本分类 300个文本作训练集，进行文本倾向分类 分类效果一般-bayes text divide
bayes
- java bayesian machine learning with imput type text java bayesian machine learning with imput type text -java bayesian machine learning with imput type textjava bayesian machine learning with imput type textjava bayesian machine learning wi
xSpliter-0.1
- 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.
Text-Classification-Using-Naive-Bayes
- This file details bayesian classification theorem in artificial intelligence
Naive-Bayes-Text-Classification
- 使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation
text classfication
- 朴素贝叶斯文本分类的简单案例，了解朴素贝叶斯的算法实现过程(Naive Bayes text classification of simple cases, to understand the naive Bayes algorithm implementation process)