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.

Cet exercice fait partie du cours

Feature Engineering for NLP in Python

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Instructions

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

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# 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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