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| import re | |
| def identify_bad_words(text): | |
| bad_words = [] | |
| with open('./src/bad_words.txt', 'r') as filehandle: | |
| bad_words = [current_place.rstrip() | |
| for current_place in filehandle.readlines()] | |
| pattern = re.compile('[A-Z]*[a-z]+') | |
| cleaned_text = pattern.findall(text) | |
| long_word_set = set(bad_words) | |
| return (set(cleaned_text) & long_word_set) | |