Assertion: topic | /r/CapableOf | use small number of words
Facets:
value: often
type: TEMPORAL
Source sentences:
text: Developed by David Blei, Andrew Ng, and Michael I. Jordan in 2002, LDA introduces sparse Dirichlet prior distributions over document-topic and topic-word distributions, encoding the intuition that documents cover a small number of topics and that topics often use a small number of words.