remove noise and stopwords

stopword.py

    def remove_stopwords(self):
        from nltk.corpus import stopwords
        import re
        stop = set(stopwords.words("english"))
        noise = ['user']
        for i,tweet in tqdm(enumerate(self.data),'Stopwords Removal'):
            self.data[i] = [w for w in tweet if w not in stop and not re.match(r"[^a-zA-Z\d\s]+", w) and w not in noise]
        return self.data