Naive Bayesian Text Classifier

The Bayesian Classifier is trained on a set of text documents. After training, a new document is presented to the classifier for classification.

The text documents are taken from New York Times archive articles (November 2016), relating to one of two categories: BUSINESS or SPORT.

1. Choose the training set size:

2 articles 10 articles 20 articles

2. Choose an input text for classification:

X-01.txt (BUSINESS) X-02.txt (BUSINESS) X-03.txt (BUSINESS) X-04.txt (BUSINESS) X-05.txt (BUSINESS)

X-06.txt (SPORT) X-07.txt (SPORT) X-08.txt (SPORT) X-09.txt (SPORT) X-10.txt (SPORT)

3. Or enter your own text for classification:

SUBMIT CLEAR