Imagine there is a file full of Twitter tweets by various users and you are provided a set of words that indicates racial slurs. Write a program that can indicate the degree of profanity for each sentence in the file. Write in any programming language (preferably in Python) - make any assumptions, but remember to state them.
i. Imagining that a dataframe df_tweets has been prepared out of the said twitter's tweets file in which there are two columns -- USERS containing user names and TWEETS containing the repective tweets. And the objective is to compute the degree of profanity for each tweet made by a certain user.
ii. racial_slurs is a list where each element represents a profane word in its base (lemmatized) form.
iii. Additionaly, I'm presuming that before degree of profanity is to be computed for a tweet, the tweet has to be cleaned -- removal of stop words accompanied by the lemmatization of the word tokens, for the least part.