(2010) extracted different features from short-texts and used these with Naive Bayes to classify them.
pointing to the weaknesses of the BoW approach, different kernels have been developed for SVM such as semantic kernels that use TF-IDF (Salton & Buckley, 1988) and its variants that apply different term weighting functions on the term incidence matrix.