Text classification using Naïve Bayes classifier

Abstract In all the previous applications where the data plays an important role such as universities, businesses, research institutions, technology-intensive companies, and government funding agencies, maintaining irregular data is a big challenge. Text classification using machine learning and deep learning models is used to organize documents or data in a predefined set of classes/groups. So once the data is trained using the deep learning algorithms, the trained model will be able to identify, predict and detect the data for categorizing it in classes/groups/topics. It is very useful in Web content management, Search engines email filtering, spam detection, intent detection, topic labeling, tagging, categorization of data and sentiment analysis, etc.