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.
This exercise is part of the course
Sentiment Analysis in Python
Exercise instructions
- 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.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# 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])