Write a function which removes english stop words from a tweet. Function Specifications: It should take a pandas dataframe as input. Should tokenise the sentences according to the definition in function 6. Note that function 6 cannot be called within this function. Should remove all stop words in the tokenised list. The stopwords are defined in the stop_words_dict variable defined at the top of this notebook. The resulting tokenised list should be placed in a column named "Without Stop Words". The function should modify the input dataframe. The function should return the modified dataframe.   Expected Output: Specific rows: stop_words_remover(twitter_df.copy()).loc[0, "Without Stop Words"] == ['@bongadlulane', 'send', 'email', 'mediadesk@eskom.co.za'] stop_words_remover(twitter_df.copy()).loc[100, "Without Stop Words"] == ['#eskomnorthwest', '#mediastatement', ':', 'notice', 'supply', 'interruption', 'lichtenburg', 'area', 'https://t.co/7hfwvxllit']

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