Whereas many solutions in NLP (including topic models) require document segmentation, lexical normalization and statistical normalizations on the co-occurrence matrix itself, the only variable in our method is the cooccurrence window size.
lemmatization (or stemming) could help collapse morphosyntactic variation among terms in the results, but stop-word removal, sentence segmentation and TF-IDF weighting appear unnecessary.