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.
To ćwiczenie jest częścią kursu
Sentiment Analysis in Python
Instrukcje do ćwiczenia
- 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.
Interaktywne ćwiczenie praktyczne
Spróbuj tego ćwiczenia, uzupełniając ten przykładowy kod.
# 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])