tweet_analyse/utils/ai/sentiment.py
def clean_tweet(text):
    """
    Utility function to clean the text in a tweet by removing
    links and special characters using regex.
    """
    return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)", " ", text).split())

    Utility function to clean the text in a tweet by removing
    links and special characters using regex.
    
Utility function to clean the text in a tweet by removing
links and special characters using regex.
Utility function to clean the text in a tweet by removing links and special characters using regex .
def clean_tweet(text):
    return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)", " ", text).split())
def clean_tweet ( text ) : return ' ' . join ( re . sub ( "(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)" , " " , text ) . split ( ) )
Utility function to clean the text in a tweet by removing
links and special characters using regex.
Utility function to clean the text in a tweet by removing links and special characters using regex .
"""
    Utility function to clean the text in a tweet by removing
    links and special characters using regex.
    """
text