Training Dataset required for Classifier I am currently trying to develop a classifier in python using Naive Bayes technique. I need a dataset so that I can train it. My classifier would classify a new document given to it into one of the four categories : Science and technology, Sports, politics, Entertainment. Can anybody please help me find a dataset for this. I've been stuck on this problem for quite some time now. Any help would be greatly appreciated.
You have at least three options:


Use some of many available datasets (for example: BBC documents); if you need more, simply go to Google Scholar or any similar service and search for classification news politics sports. In the articles you may find many references to available datasets;
Crawl any news service, and use clustering techniques to group articles into clusters (this often separates the articles along their domain, such as politics, sports etc.), and label the articles by their affiliation to a cluster;
Crawl politics-specific, sports-specific news services and use them as labeled datasets.