For a large dfm, dfm_compress() generates an error. Here is a replication code (kbenoit has the data).
mentions_tab <- dfm_select(data_dfm_brexittweets_junesample, "@*")
colnames(mentions_tab) <- sample(letters, size = ncol(mentions_tab), replace = T)
#sub("^(@.+?)\\W.+", "\\1", featnames(mentions_tab))
mentions_tab <- dfm_compress(mentions_tab, margin = "features")
For a large dfm, dfm_compress() generates an error. Here is a replication code (
kbenoithas the data).