Created
February 22, 2019 12:46
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Remove Unnecessary Noise function for Filtering Fake News Blog
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| def remove_unnecessary_noise(text_messages): | |
| text_messages = re.sub(r'\\([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])\\([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])\\([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])', ' ', text_messages) | |
| text_messages = re.sub(r'\\([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])\\([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])([a-z]|[A-Z]|[0-9])', ' ', text_messages) | |
| text_messages = re.sub(r'\[[0-9]+\]|\[[a-z]+\]|\[[A-Z]+\]|\\\\|\\r|\\t|\\n|\\', ' ', text_messages) | |
| return text_messages |
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