In addition, by using kernel functions, they can learn non-linear separating boundary and dependencies between the features.
sVMs have been recently used for the natural language processing such as text categorization (Joachims, 1998;Taira and Haruno, 1999), chunk identification (Kudo and Matsumoto, 2000b), dependency structure analysis (Kudo and Matsumoto, 2000a).