搜索资源列表
winsvm
- 支持向量机分类器（可分类文本，编的非常不错）-The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well.
Classifier4J
- Classifier4J这个Java类库为文本自动分类提供了一个API。缺省（目前）实现的API是一个贝叶斯分类器。这个类库可以用于多个目的－可能作为一个垃圾邮件过滤器或一个blog-Classifier4J Java class library for the automatic text classification provided an API. Default (current) to achieve the API is a Bayesian classifier. This lib
gmeans
- gmeans-- Clustering with first variation and splitting 文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式. -gmeans clustering with first variation and splitting Gmeans,a text clustering algorithm, uses 3 functions,cosine,euclidean and
关于tts语音引擎的使用方法
- 关于tts语音引擎的使用方法!很多软件具有英文发音和朗读功能，它们都使用了MSTTS（Microsoft Text To Speech）技术。微软遵照COM的标准，提供了一套Speech API来对MSTTS进行编程。要在程序中使用这套API，必须确保系统已经安装了MSTTS和Spchapi软件包。 Speech API可以作为类型库引用到Delphi中，方法是：打开Project选单下的Import Type Litrary，点击“Add”加入Windows\\Speech目录下
KMEANS聚类
- knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code,
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
Labeled-LDA-model-text-classify
- 基于Labeled-LDA模型的文本分类新算法-Labeled-LDA model based on the new algorithm for text categorization
Text-mining
- 文本挖掘 数据挖掘 智能化知识管理 知识挖掘-Text mining，Date mining，KM system knowledge management
Text-recognition-system
- 基于神经网络的文字识别系统,在VC6.0下运行通过，可以实现在数字的识别-Text recognition system based on neural networks in VC6.0 run through, can be achieved in the digital identification
Text-classify
- 用朴素贝叶斯和支持向量机SVM的两种文本文类实验-Two text of this article class experiment with naive Bayes and support vector machines SVM
Text-classification
- 文本分类之词频统计 分词、词干提取、去停用词、计算词频，有界面-Text classification of word frequency statistics word stemmer, to stop words, calculate word frequency, interface
Text-Classification_libSVM
- 用seg进行分词 输入参数一：输入文本语料所在的文件夹路径。 如 文本文件语料都放在 train//text 文件夹下，则参数为：train//text//* 。 注意：必须每篇文章在一个txt文本中。 输入参数二：输入存储分词后的结果文件所在的文件夹路径：如：result//text。注意：不需要加* 本工具采用了中科院的中文分词工具，ICTCLAS，请自行到ICTCLAS官网下载该工具。并把Data文件夹，Configure.xml，ICTCLAS30.h，ICTCLAS3
Inverted-Indexing-for-Text-retrieval
- Web search is the quintessential large-data problem. Given an information need expressed as a short query consisting of a few terms, the system s task is to retrieve relevant web objects (web pages, PDF documents, PowerPoint slides, etc.) and p
text-est
- 这是一篇综述文章，介绍文本分析的参数估计问题，主要是贝叶斯模型包括PLSA，LDA等-This technical note is intended to review the foundations of Bayesian parameter estimation in the discrete domain, which is necessary to understand the inner workings of topic-based text analysis approache
cnn-text-classification-tf-master
- 深度学习实现算法，卷积网络，文本分类，python代码实现-deep learning alg，cnn,text classification,very very useful
classify-text-master
- 文本分类，分类材料为20newsgroup-Text classification, classified material 20newsgroup
cnn-text-classification-tf
- 利用 Tensorflow 构建 CNN 模型实现文本分类(CNN for Text Classification in Tensorflow)
DeepLearningBooks
- caffe, tensorflow, 多本深度学习的经典框架入门书籍，官方文档等。(caffe, tensorflow, deeplearning frameworks to learn. several great text books.)
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.)