w w u u w u = 1 w v = 0 u v = (w 1, w 2,..., w N ) a β k V β i,j = p(w j = 1 z i = 1)
θ d Dir(a) Dir(a) z d,n multi(θ d ) V w d,n β zd,n
p(θ,, a, β) = p(θ,, a, β) p( a, β)
similarity = (A, B) = AB A B = n i=1 A ib i n i=1 (A i) 2 n i=1 (B i) 2
p(c k F 1, F 2, F 3...F n ) = p(c k) p(f 1, F 2, F 3...F n C k ) p(f 1, F 2, F 3...F n ) prior likelihood prosterior = evidence C k F 1, F 2, F 3...F n F 1, F 2, F 3...F n C k p(f 1, F 2...F n C k ) = p(f 1 C k ) p(f 2 C k )... p(f n C k )
tf idf N df
ϵπιτυχιϵς τριαδϵς 100 N = 100
1000
( )