Techniques for Improving the Performance of Naive Bayes for Text Classification Export

@incollection{citeulike:1734221, abstract = {Naive Bayes is often used in text classification applications and experiments because of its simplicity and effectiveness. However, its performance is often degraded because it does not model text well, and by inappropriate feature selection and the lack of reliable confidence scores. We address these problems and show that they can be solved by some simple corrections. We demonstrate that our simple modifications are able to improve the performance of Naive Bayes for text classification significantly.}, author = {Schneider, Karl-Michael}, citeulike-article-id = {1734221}, citeulike-linkout-0 = {http://www.springerlink.com/content/yfpmmyavbhwh97bb}, journal = {Computational Linguistics and Intelligent Text Processing}, keywords = {diss}, pages = {682--693}, posted-at = {2009-09-05 23:21:02}, priority = {2}, title = {Techniques for Improving the Performance of Naive Bayes for Text Classification}, url = {http://www.springerlink.com/content/yfpmmyavbhwh97bb}, year = {2005} }

TY - CHAP ID - citeulike:1734221 L3 - citeulike-article-id:1734221 N2 - Naive Bayes is often used in text classification applications and experiments because of its simplicity and effectiveness. However, its performance is often degraded because it does not model text well, and by inappropriate feature selection and the lack of reliable confidence scores. We address these problems and show that they can be solved by some simple corrections. We demonstrate that our simple modifications are able to improve the performance of Naive Bayes for text classification significantly. JF - Computational Linguistics and Intelligent Text Processing EP - 693 TI - Techniques for Improving the Performance of Naive Bayes for Text Classification SP - 682 KW - diss AU - Schneider, Karl-Michael PY - 2005/// UR - http://www.springerlink.com/content/yfpmmyavbhwh97bb ER -