In early experiments, Naive Bayes performed comparably to or outperformed SVM because the dimensionality of the feature space was relatively low.
we achieve a 53.71% F 1 -score by adding features extracted from the preceding and the subsequent utterances, which is about a 10% improvement from a baseline classifier using only the features from the question itself.