Clean the text

Read first Task 21

Models and keyword matchers both do better on clean text: lower case, no stray spaces, no punctuation. Normalise first, compare second.

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raw = '   What is the PYTHON fee??  '

def clean(text):
    text = text.strip().lower()
    for mark in '?!.,':
        text = text.replace(mark, '')
    return ' '.join(text.split())

print(clean(raw))

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raw = '   What is the PYTHON fee??  '

def clean(text):
    text = text.strip().lower()
    for mark in '?!.,':
        text = text.replace(mark, '')
    return ' '.join(text.split())

print(clean(raw))

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