Gensim: How to load corpus from saved lda model?

Question

When I saved my LdaModel lda_model.save('model'), it saved 4 files:

1. model
2. model.expElogbeta.npy
3. model.id2word
4. model.state

I want to use pyLDAvis.gensim to visualize the topics, which seems to need the model, corpus and dictionary. I was able to load the model and dictionary with:

lda_model = LdaModel.load('model')
dict = corpora.Dictionary.load('model.id2word')

Is it possible to load the corpus? How?

Answer 1

Sharing this here because it took me awhile to find out the answer to this as well. Note that dict is not a valid name for a dictionary and we use lda_dict instead.

# text array is a list of lists containing text you are analysing
# eg. text_array = [['volume', 'eventually', 'metric', 'rally'], ...]
# lda_dict is a gensim.corpora.Dictionary object

bow_corpus = [lda_dict.doc2bow(doc) for doc in text_array]