Intuitively, p(t | w) indicates how much the word w focuses on topic t. 1 At the next step of TPR, the word scores (2) are accumulated into keyphrase scores.
for each topic t, a candidate keyphrase is ranked by the sum of the word scores By combining the topic specific keyphrase scores R t (phrase) with the probability p(t | d) derived from the LDA we can compute the final keyphrase scores across all K topics: Single Topical PageRank (STPR) was recently proposed by Sterckx et al.