In order to achieve performance and configurability, the Salience Rank (SR) algorithm combines the K latent topics estimated by LDA into a word metric, called word salience, and uses it as a preference value for each w i ∈ W .
sR needs to perform only a single run of PageRank on the word graph G in order to obtain a ranking of the words in each document.