Simple search in Google Scholar shows that most frequently used models for document classification are Naive Bayes, linear SVMs (Cortes and Vapnik, 1995), Perceptrons (Rosenblatt, 1957) and Maximum Entropy (Berger et al., 1996) (Figure 1a).
non-linear models such as non-linear SVMs and Random Forest (Breiman, 2001) and Classification trees (Breiman et al., 1984) are significantly under-represented.