Exercise

Specify token sequence length with BOW

We saw in the video that by specifying different length of tokens - what we called n-grams - we can better capture the context, which can be very important.

In this exercise, you will work with a sample of the Amazon product reviews. Your task is to build a BOW vocabulary, using the review column and specify the sequence length of tokens.

Instructions

100 XP

Build the vectorizer, specifying the token sequence length to be uni- and bigrams.
Fit the vectorizer.
Transform the fitted vectorizer.
In the DataFrame, make sure to correctly specify the column names.