nlp - Python DTM - Top n words

Question

I have created (I guess) a dtm in python, but am not able to tell if it is working. I'd like to look at the top n words. How can I do this?

from sklearn.feature_extraction.text import CountVectorizer
count_vect = CountVectorizer(min_df=2, token_pattern=r"(?u)[a-zA-Z]{3,}")
doc_term_matrix = count_vect.fit_transform(tweet_tp['text'].values.astype('U'))

tweet_tp is a dataframe containing the preprocessed text of some tweets in its 'text' column.

Answer 1

等待大神答复