Text Classification for Student Data Set using Naive Bayes Classifier and KNN Classifier

摘要

In this Information Era, Text documents with large features are available in plenty. Correct classification of this text documents into predefined set is a critical task. Text document classification is an emerging field in the area of text mining. Text classification is gorgeous because it eliminates the need of manually organizing documents based on their content and provides good accuracy. For Automated Text Classification a number of classifiers are available. In this paper, our focus is on text classification using Na?ve Bayes classifier and KNearest Neighbour classifier and to emphasize on performance and accuracy of these classifiers using Rapid miner for Student Data Set.