Print ("Score: ".format(score, index, lda_model.print_topic(index, 10)))
Get plain text topics from gensim lda code#
Print the topic distribution of documentsĪfter we have created a lda model using gensim, in order to know the topic distribution of a document, we can use code below: for index, score in sorted(lda_model], key=lambda tup: -1*tup): Then we can use model.save() to save lda model. Here is an example: from gensim.models import LdaModelĮval_every = None # Don't evaluate model perplexity, takes too much time. We can use gensim LdaModel to create a lda model using dictionary and corpus. Use dictionary and corpus to build LDA model Run this code, we may get result as follows: Number of unique tokens: 25080 In this tutorial, we have filtered out words that occur less than 20 documents, or more than 10% of the documents. Print('Number of documents: %d' % len(corpus))
Print('Number of unique tokens: %d' % len(dictionary)) # Bag-of-words representation of the documents.Ĭorpus = # Filter out words that occur less than 20 documents, or more than 10% of the documents.ĭictionary.filter_extremes(no_below=20, no_above=0.1) # Create a dictionary representation of the documents. We have got document words list above, then we can use it to create a dictionary and a corpus. # Remove words that are only one character.ĭocs = for doc in docs] Build dictionary and corpus Here is an example code: # Remove numbers, but not words that contain numbers.ĭocs = for doc in docs] In order to increase the accuracy, we should remove some words, such as numbers, stop words or others. Here is an example code: tokenizer = RegexpTokenizer(r'\w+')ĭocs = docs.lower() # Convert to lowercase.ĭocs = tokenizer.tokenize(docs) # Split into words. In this tutorial, we will use nltk to split. all things being equalĪfter we have loaded documents in a python list, we also need to split them to tokens (words).
Get plain text topics from gensim lda movie#
whereas other biographies of famous people tend to get very poor this movie always stays focused and gives a good and honest portrayal of the dalai lama. the music, of course, sounds like because it is by philip glass. the real dalai lama is a very interesting person, and i think there is a lot of wisdom in buddhism. there is some great buddhist wisdom in this movie. I excepted a lot from this movie, and it did deliver. In this exode, we have loaded 67426 documents. Here docs is a python list, which contains some documents, you can modify this code to load your own documents.
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