from gensim import corpora

dictionary = corpora.Dictionary(doc_clean)

corpus = [dictionary.doc2bow(doc) for doc in doc_clean]

lda_model = gensim.models.ldamodel.LdaModel(corpus = corpus , id2word=dictionary , num_topics=10 , random_state=100, update_every=1 , chunksize=100 , passes=10 , alpha='auto' , per_word_topics=True)

topics = print(lda_model.print_topic(6))

doc_lda = lda_model[corpus]