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