问题
My question is very simple. How can one build ldavis's frequentist topic modeling plots with phrase tokens instead of single-word tokens using the text2vec package in R.
Currently, the word tokenizer tokens = word_tokenizer(tokens) works great but is there a phrase or ngram tokenizer functionality to enable building ldavis topic models and corresponding plots with phrases instead of words?
If not, how might such a code be constructed? Is this even methodologically sound or advisable?
来源：https://stackoverflow.com/questions/64504592/building-ldavis-plots-using-phrase-tokens-instead-of-single-word-tokens