Text Categorization By Content using Naïve Bayes Approach

The goal of text classification is to mechanically place documents (such as plain text files and Web pages) into certain categories determined by their content. The main objectives aimed towards the execution of the work include. Firstly, exploration and conducted studies to learn how to effectively extract data that may be utilized to symbolize a document. The next step is to Figure out how to make the most informed choice when assigning a document to a particular category. Implementing a text filter was the last objective. To prove the worth by successfully completing the tasks set out in this project. In the proposed work Naïve Bayes approach is used to show the effective result.