How to print out the full distribution of words in an LDA topic in gensim?

gensim, lda, python, topic-modeling

Solution

There is a variable call `topn` in `show_topics()` where you can specify the number of top N words you require from the words distribution over each topic. see http://radimrehurek.com/gensim/models/ldamodel.html

So instead of the default `lda.show_topics()`. You can use the `len(dictionary)` for the full word distributions for each topic:

for i in lda.show_topics(topn=len(dictionary)):
    print i

Problem

The `lda.show_topics` module from the following code only prints the distribution of the top 10 words for each topic, how do i print out the full distribution of all the words in the corpus? ``` from gensim import corpora, models documents = ["Human machine interface for lab abc computer applications", "A survey of user opinion of computer system response time", "The EPS user interface management system", "System and human system engineering testing of EPS", "Relation of user perceived response time to error measurement", "The generation of random binary unordered trees", "The intersection graph of paths in trees", "Graph minors IV Widths of trees and well quasi ordering", "Graph minors A survey"] stoplist = set('for a of the and to in'.split()) texts = [[word for word in document.lower().split() if word not in stoplist] for document in documents] dictionary = corpora.Dictionary(texts) corpus = [dictionary.doc2bow(text) for text in texts] lda = models.ldamodel.LdaModel(corpus_tfidf, id2word=dictionary, num_topics=2) for i in lda.show_topics(): print i ```

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