all-scam-spam / spam_assassin.py
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add examples of data preprocessing
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import pandas as pd
special = []
df = pd.read_csv('spam_data.csv')
for index, row in df.iterrows():
text = row['text']
if text is not None and text != '' and 'Subject: ' in text:
subject = text.split("""
Subject: """)[1]
if '\n' in subject:
subject = subject.split("\n")[0].strip()
elif '\r' in subject:
subject = subject.split("\r")[0].strip()
else:
raise Exception('No newline found in subject: ' + str(text))
content = text.split("""
""")[1:]
content = """
""".join(content)
text = subject + """
""" + content
df.at[index, 'text'] = text
else:
special.append({'text': text, 'is_spam': row['is_spam']})
df.to_csv('spam_data_clean.csv', index=False)
pd.DataFrame(special).to_csv('special.csv', index=False)