From Table 4, we observe that NB, CRM and TAM, as generative models, tend to suggest general tags such as "novel", "literature", "classic" and "France", and fail in suggesting specific tags such as "Alexandre Dumas" and "Count of Monte Cristo".
wTM succeeds in suggesting both general and specific tags related to the book.