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- 这篇文章读了以后感觉很好，对文本分类研究有很大帮助！-After reading this article feel good for text categorization research are very helpful!
RiskThemes-2
- The output of 18 software architecture evaluations are analyzed to find patterns in the risk themes identified in the evaluations. The major results are: • A categorization of risk themes • The observation that twice as many risk th
shilpa_Visual_categ_with_bags_of_keypts
- Visual categorization with bags of keypoints
Text-Categorization-by--Backpropogation-Network.z
- this the ppt of text categorization by back propagation-this is the ppt of text categorization by back propagation
Text-Category
- 文本分类方法总结：Swap-1方法、n-gram方法、Bayes分类-Text Categorization Method summary: Swap-1 method, the n-gram method, Bayes classification, etc.
IG
- 文本分类中特征提取的代码。采用信息增益法，对文本的空间向量模型能达到有效降维。文件的输入形式必须是词号-词频形式。- Text Categorization feature extraction code. Using information gain method, the vector space model of the text to achieve effective dimensionality reduction. Enter the file must be in the f
616341
- 中文文本语料库 适合中文文本分类使用 朴素贝叶斯算法整合 -Chinese text categorization corpus
Text-Categorization
- 基于新的关键词提取方法的快速文本分类系统 理论研究-Text Categorization
Code
- This software contains the matlab code with the implementation of coding and decoding designs of Error-Correcting output codes to deal with multi-class categorization problems.
document-processor-master
- 文本分类java源代码，通过支持向量机来对文本进行自动分类处理。-Text Categorization java source code for automatic text classification by support vector machine.
base-on-WEKA-text-cluster-apllying
- weka平台的文本分类测试，源代码为java-Text categorization test weka platform, the source code for the java
05674051
- CENTRIST: A Visual Descr iptor for Scene Categorization
clust
- Image clustering this method is used to image clustering. Image clustering and categorization is a means for high-level descr iption of image content. The goal is to find a mapping of the archive images into classes (clusters) such that the set of cl
rt-polaritydata
- 该文档可在机器学习中用于文本分类的语料库，内涵一个正面语料文档和一个负面语料文档。(This document is a corpus for text categorization in machine learning, with a positive corpus document and a negative corpus document.)