Specify the token pattern
In this exercise, you will work with the text column of the tweets dataset. Your task is to vectorize the object column using CountVectorizer. You will apply different patterns of tokens in the vectorizer. Remember that by specifying the token pattern, you can filter out characters.
The CountVectorizer has been imported for you.
This exercise is part of the course
Sentiment Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Build and fit the vectorizer
vect = ____(____=r'\b[^\d\W][^\d\W]+\b').fit(tweets.text)
vect.transform(tweets.text)
print('Length of vectorizer: ', len(vect.get_feature_names()))