Exercise

Tfidf and a BOW on same data

In this exercise, you will transform the review column of the Amazon product reviews using both a bag-of-words and a tfidf transformation.

Build both vectorizers, specifying only the maximum number of features to be equal to 100. Create DataFrames after the transformation and print the top 5 rows of each.

Instructions

100 XP

Import the BOW and Tfidf vectorizers.
Build a BOW and a Tfidf vectorizer from the review column and limit the number of created features to 100.
Transform the vector representations to DataFrames.

Take Hint (-30 XP)