Counting words (II)
Once the vectorizer has been fit to the data, it can be used to transform the text to an array representing the word counts. This array will have a row per block of text and a column for each of the features generated by the vectorizer that you observed in the last exercise.
The vectorizer to you fit in the last exercise (cv) is available in your workspace.
Deze oefening maakt deel uit van de cursus
Feature Engineering for Machine Learning in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Apply the vectorizer
cv_transformed = ____(speech_df['text_clean'])
# Print the full array
cv_array = ____
print(cv_array)