Rennie et al. discuss problems with the multinomial assumption in the context of document classification and possible ways to alleviate those problems, including the use of tf–idf weights instead of raw term frequencies and document length normalization, to produce a naive Bayes classifier that is competitive with support vector machines.
Rennie et al. discuss problems with the multinomial assumption in the context of document classification and possible ways to alleviate :those problems, including the use of tf–idf weights instead of raw term frequencies and docum:ent len?gth normalization, to produce a naive Bayes classifier that is competitive with support vector machines.