Text Classification for Student Data Set using Naive Bayes Classifier and KNN Classifier
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-43 Number-1 |
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| Year of Publication : 2017 | ||
| Authors : Rajeswari R.P, Kavitha Juliet, Dr.Aradhana | ||
| DOI : 10.14445/22312803/IJCTT-V43P103 |
Rajeswari R.P, Kavitha Juliet, Dr.Aradhana "Text Classification for Student Data Set using Naive Bayes Classifier and KNN Classifier". International Journal of Computer Trends and Technology (IJCTT) V43(1):8-12, January 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
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 Naïve Bayes classifier and K-Nearest Neighbour classifier and to emphasize on performance and accuracy of these classifiers using Rapid miner for Student Data Set.
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Keywords
Text Mining, Text Classification, Naïve Bayes Classifier, KNN Classifier.