Where an ordinary topic-modeling algorithm will search through huge bodies of text to identify clusters of words that tend to occur in close proximity to each other, Rumshisky and her colleagues??? algorithm identifies correlations not only between words but between words and other textual ???features??? ??? such as the words??? syntactic roles.