String operators with the Twitter data

You continue working with the tweets data where the text column stores the content of each tweet.

Your task is to turn the text column into a list of tokens. Then, using string operators, remove all non-alphabetic characters from the created list of tokens.

Deze oefening maakt deel uit van de cursus

Sentiment Analysis in Python

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Oefeninstructies

Import the word tokenizing function.
Create word tokens from each tweet.
Filter out all non-alphabetic characters from the created list, i.e. retain only letters.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Import the word tokenizing package
____

# Tokenize the text column
word_tokens = [____(review) for review in tweets.text]
print('Original tokens: ', word_tokens[0])

# Filter out non-letter characters
cleaned_tokens = [[word for word in item if ____.____] for item in word_tokens]
print('Cleaned tokens: ', cleaned_tokens[0])

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