This basic function to detect negation while performing sentiment analysis. So that not good kind of words can be considered a negative.This code is working fine. Can someone help to improve it or find if any bug present?def negate_sequence(self,text):        Detects negations and transforms negated words into not_ form.        negation = False    delims = ?.,!:;    result = []#Here rather then applying split, we can directly feed our extracted symptoms list    words = text.split()    prev = None    pprev = None    for word in words:        # stripped = word.strip(delchars)        stripped = word.strip(delims).lower()        negated = not_ + stripped if negation else stripped        result.append(negated)        if prev:            bigram = prev +   + negated            result.append(bigram)            if pprev:                trigram = pprev +   + bigram                result.append(trigram)            pprev = prev        prev = negated        if any(neg in word for neg in [not, n't, no]):            negation = not negation        if any(c in word for c in delims):            negation = False    return result
Negation detection in sentiment analysis
python;strings;natural language processing