tf-idf vectors for TED talks

In this exercise, you have been given a corpus ted which contains the transcripts of 500 TED Talks. Your task is to generate the tf-idf vectors for these talks.

In a later lesson, we will use these vectors to generate recommendations of similar talks based on the transcript.

Deze oefening maakt deel uit van de cursus

Feature Engineering for NLP in Python

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Oefeninstructies

Import TfidfVectorizer from sklearn.
Create a TfidfVectorizer object. Name it vectorizer.
Generate tfidf_matrix for ted using the fit_transform() method.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Import TfidfVectorizer
from ____ import ____

# Create TfidfVectorizer object
____

# Generate matrix of word vectors
tfidf_matrix = vectorizer.____(____)

# Print the shape of tfidf_matrix
print(tfidf_matrix.shape)

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