Tf-idf with Wikipedia
Now it's your turn to determine new significant terms for your corpus by applying gensim's tf-idf. You will again have access to the same corpus and dictionary objects you created in the previous exercises - dictionary, corpus, and doc. Will tf-idf make for more interesting results on the document level?
TfidfModel has been imported for you from gensim.models.tfidfmodel.
This exercise is part of the course
Introduction to Natural Language Processing in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a new TfidfModel using the corpus: tfidf
tfidf = ____
# Calculate the tfidf weights of doc: tfidf_weights
tfidf_weights = ____
# Print the first five weights
print(____)