The advantage of the data-driven style is that it can marry well with deep learning methods because most neural models learn the concept of style by learning to distinguish the multiple style corpora. For the (non-data-driven) linguistic style, although it is under-explored in the existing deep learning works of TST, there's a discussion of how potential future works can learn TST of linguistics styles with no matched data.