Generally, it's only potential to guage the best suited matter depend after the model has been educated. Additionally, it makes it attainable to assign matters to documents even if they don't include a pre-determined key phrase. However, there isn't any inherent epistemological claim in LDA that topics symbolize anything past probability distributions of latent multinomial variables in units of phrases.