doc

Author: jwijffels

R/paragraph2vec.R

@@ -50,7 +50,7 @@
 #' x$nwords <- txt_count(x$text, pattern = " ")
 #' x <- subset(x, nwords < 1000 & nchar(text) > 0)
 #' 
-#' ## Build the model get word embeddings and nearest neighbours
+#' ## Build the model
 #' model <- paragraph2vec(x = x, type = "PV-DM",   dim = 15,  iter = 5)
 #' \donttest{
 #' model <- paragraph2vec(x = x, type = "PV-DBOW", dim = 100, iter = 20)