Documents automatically classification or text classification is of increasing interesting and applications. Examples of text classification applications are spam filter, knowledge management and retrieval, document in specific topics query, language guessing. This project is going to examine text classification machine learning methods and implement one of the methods, the Naïve Bayes method over twenty newsgroup categories. The Naïve Bayes method incorporating with TF-IDF methods are implemented to improve performance.
Source code written in C#