Optimizing Topic Modeling: Saving and Loading Models for Faster Processing

[EngWiPy]

Hello,

I am running a program that takes relatively long time to read the corpus of some documents, and create the topic model. The code to do this is:

from gensim import models, corpora

corpus = corpora.BleiCorpus('./data/ap/ap.dat', './data/ap/vocab.txt')

#Creating the topic model
model = models.ldamodel.LdaModel(corpus, num_topics = 100, id2word = corpus.id2word)

I am testing different things with the code, and it's a little slow to run the code several times because of the above code's segment. How can I overcome this issue?

Thanks

 

[EngWiPy]

It turned out the model can be saved and loaded. Problem solved.