While (Ng and Jordan, 2002) showed that NB is better than SVM/logistic regression (LR) with few training cases, we show that MNB is also better with short documents.
to their result that an SVM usually beats NB when it has more than 30-50 training cases, we show that MNB is still better on snippets even with relatively large training sets (9k cases).