A self-written text classification tool

Text classification is a branch of Data Mining. However, there is still a lot of research space for text classification. There are a lot of materials on the Internet for text classification, if you are interested, you can study it.

Currently, text classification can be applied to domain name classification, spam identification, web crawler, IDC content analysis, and other subsystems in the company's application system. In addition, text classification may also be used for behavior analysis in the future, content Filtering (aligreennet client) plays a role. the implementation process of text classification can be expressed as follows: about text classification AlgorithmThere are currently three classic classifiers: {nearest neighbor (KNN), Naive Bayes (Na naive ve Bayes), and support vector machine (SVM)}. In addition, there is also a Chinese Emy of Sciences ictdrap classifier (http://www.searchforum.org.cn/tansongbo/software.htm), the comparison between the four is as follows: 1. ictdrap ranked first in overall performance. Accuracy first, speed first.
2. SVM, ranking second in overall performance. Precision first, speed fourth.
3. Na has ve Bayes, ranking third in overall performance. Accuracy 3, speed 3.
4. KNN, ranking fourth in overall performance. Precision 4, speed 4.Ictdrap is an algorithm implemented by the Chinese Emy of sciences. Its superiority lies in its performance. On a general PC, its filtering (Classification) speed can exceed 4 Mb/s, unfortunately, his algorithm implementation is not found on the Internet, but the other three classic classifier algorithms can be found on the Internet. below is Program: