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Perceptron-twotextcategory.rar
- 感知器神经网络对简单的句子进行分类的程序, 可以扩展为对文章进行文本分类,Perceptron neural network for simple sentence classification procedures can be extended for text classification articles
Text-Classification-CPP
- 利用贝叶斯算法进行文本分类，用VC++实现的源代码 -Bayesian text classification algorithm, implemented using VC++ source code
SVM
- 这是SVM文本分类程序源码，既有java版本，也有C++版本。 -This is a SVM text classification program source code, both java versions, there are C++ version.
svm-EM
- SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
extract_document
- 这是一个提取 Reuter-21578 的程序, 用做自然语言处理, 文本分类聚类,和信息检索的测试集!-This is an extract of the Reuter-21578 procedure, used for natural language processing, text classification clustering, and information retrieval test collection!
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
text_classification
- 这是一个文本分类的简单算法,基于weka的，实现文本的分类。-This is a easy classification code.
nerve
- 人工神经元分类模型，可以对短文本进行分类并且有比较高的准确率（训练文本正确时）-Artificial neural classification model can be classified on the short text and a relatively high accuracy rate (training text correctly)
SupportVectorMachinesTextClassification
- 支持向量机（support vector machine）用来解决复杂的文本分类问题-support vector machine& text classification
naive_baysian_classify
- 朴素贝叶斯公式文本分类 把一片文章读入一个矩阵 分别计算每个词对应训练网络出现的概率 -Bayesian text classification to an article in the formula to read a matrix were calculated for each word corresponds to the training network the probability
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.
test
- 基于朴素贝叶斯的文本分类器，使用Visual C# 2005编写-the text-based Naive Bayesian classifier
文本分类
- 文本分类算法的详解过程，可以帮助更好的理解文本分类(The detailed process of text categorization)
finallyliuyuClassifier
- 用于文本分类，文本挖掘，文本特征提取，文本聚类，文本关联等(It is used for text classification, text mining, text feature extraction, text clustering, text association, etc.)
TC
- 一个基于传统向量空间模型文本分类方法对比(A comparison of text categorization methods based on traditional vector space model)
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)
data_process_xgboost.tar
- 文本分类算法，重点实现了xgboost,支持python3，对文本分类入门同学有一定的帮助。以下是语料格式。前边为文本类型，后边为文本内容 0,千山万水… 5,QQ推广是在QQ演示吗 8,怎么满脸认证?(text classification,include xgboost,is is important to new learner.)
chinese_text_classification-master
- 文本分类的一个基本项目，用到的是复旦大学中文语料库(a basic project for text classification,I use the corpus from fudan university as my training and testing corpus)
基于朴素贝叶斯定理的文本分类
- 基于朴素贝叶斯定理的文本分类，附全部源程序(Text classification based on the simple Bias theorem)
文本分类
- 于潜在语义分析的网页文本分类研究,基于拉推策略的基本思想，该文提出了文本分类的增量学习模型ICCDP。