vertex_labelfont to textplot_network().textmodel_lsa() for Latent Semantic Analysis models.textmodel_affinity() for the Perry and Benoit (2017) class affinity scaling model.textplot_network() function.stopwords() function and the associated internal data object data_char_stopwords have been removed from quanteda, and replaced by equivalent functionality in the stopwords package.tokens_subset(), now consistent with other *_subset() functions (#1149).fcm() and for textmodel_wordfish().dfm() now correctly passes through all ... arguments to tokens(). (#1121)dfm_*() functions now work correctly with empty dfm objects. (#1133)dfm_weight() for named weight vectors (#1150)textplot_influence() from working (#1116).convert() are simplified and no longer exported. To convert a dfm, convert() is now the only official function.nfeat() replaces nfeature(), which is now deprecated. (#1134)textmodel_wordshoal() has been removed, and relocated to a new package (wordshoal).textmodel(), which used to be a gateway to specific textmodel_*() functions, has been removed.textmodel_*() have been reimplemented to make their behaviour consistent with the lm/glm() families of models, including especially how the predict, summary, and coef methods work (#1007, #108).