Combining Naive Bayes and n-Gram Language Models for Text Classification

@misc{citeulike:1286460, abstract = {We augment the naive Bayes model with an n-gram language model to address two shortcomings of naive Bayes text classifiers.}, author = {Peng, F. and Schuurmans, D. }, citeulike-article-id = {1286460}, posted-at = {2007-05-09 23:10:55}, priority = {0}, title = {Combining Naive Bayes and n-Gram Language Models for Text Classification}, url = {http://citeseer.ist.psu.edu/572782.html}, year = {2003} }

TY - GEN ID - citeulike:1286460 L3 - citeulike-article-id:1286460 TI - Combining Naive Bayes and n-Gram Language Models for Text Classification N2 - We augment the naive Bayes model with an n-gram language model to address two shortcomings of naive Bayes text classifiers. AU - Peng, F AU - Schuurmans, D PY - 2003/// UR - http://citeseer.ist.psu.edu/572782.html ER -