Boosting中的AdaBoost.M1算法在文本分类中的应用实现。使用ICTCLAS用于中文分词，弱分类器使用Naive Bayes。程序参数使用配置文件的格式。-Application of text classification using AdaBoost.M1. Use ICTCLAS tool in Chinese segment, and use Naive Bayes as the weak classifier. use the config file as the para

TexLexAn is the project of an automatic text analyzer, classifier and summarizer. This software is at the frontier of the artificial intelligence and of the machine learning, and participates at its very modest level to the development of the softwar

基于ＲＮＮ实现文本分类，一个简单的小例子(Based on RNN implementation examples of text classification)

短文本分类，适合一种低于20字以下的短文本分类，准确率可达90(short text classification)