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.
Este exercício faz parte do curso
Sentiment Analysis in Python
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# 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()))