搜索资源列表
Native_Byes_Classfication
- 一个朴素贝叶斯文本分类,在进行训练后,可以对文本进行分类。目前支持英文-a simple Bayesian text classification, conducting training, the text can be classified. Currently supported English
Maxent6
- 一个将文本处理成maxent(张乐)可执行程序输入数据并可实现分类的小程序-a text processing into maxent (Zhang Yue) binary input data classification can achieve a small procedure
NBTextClassification1
- 此程序用于文本的分类,经vc环境下测试经测试,取得良好的效果 -This procedure for text classification, by vc testing environment have been tested, and achieved good results
svm-text
- 一些有关于用支持向量机作文本分类的文章,感兴趣的人可以-Some have on the use of support vector machine classification of writing this article, interested people can
text-data-mining
- 此程序实现了如何在TXT或WORD文档中进行数据挖掘,在文本中提取有用信息-The realization of this procedure how to TXT or WORD document to carry out data mining, in the text to extract useful information
BayesClassifier
- 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
KNN
- 一个介绍KNN文本分类技术的不错的文章,大家都来看看啊-An introductory text classification technology KNN good article, everyone来看看啊
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)
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
svm
- SVM代码,适用于文本分类,为学习SVM的朋友提供一个参考,共同学习。-SVM code for text classification, the study provides a reference SVM friends, learning together. 提供更好的翻译建议
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
SAXDemo
- SVM文本分类实验平台 对文本分类的最好例子-SVM text classification experiment platform for the best example of text classification
kNN
- KNN分类方法,用于文本分类工作的研究。-KNN classification method, for text categorization of the research work
随机森林文本分类
- 在机器学习中,随机森林是一个包含多个决策树的分类器, 并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。 而 "Random Forests" 是他们的商标。 这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林(random decision forests)而来的。这个方法则是结合 Breimans 的 "
SogouC
- 用于NLP cnn文本分类模型的训练数据(Data about Google news classification, size 16M, for CNN Chinese text classification data)
文本深度挖掘
- 用于分析文档,分析情感指数,正负面情绪,及新闻分类(Used to analyze documents, analyze sentiment, positive and negative emotions, and classify news)
cnn-text-classfication
- 通过机器学习中的卷积神经网络实现对文本进行分类的算法。(The text is classified by the convolution neural network.)
lstm-text-classfication
- 通过机器学习中的长短时记忆单元实现对文本进行分类的算法。(The long short term memory unit realizes the algorithm of classifying text by machine learning.)