Datasets:
Size Categories:
10K<n<100K
License:
| import pandas as pd | |
| df = pd.read_csv('enron_spam_data.csv') | |
| data = [] | |
| for index, row in df.iterrows(): | |
| message = row['Message'] | |
| subject = row['Subject'] | |
| if not message or type(message) == float: | |
| message = subject | |
| subject = '' | |
| elif not subject or type(subject) == float: | |
| subject = message | |
| message = '' | |
| spam_ham = row['Spam/Ham'] | |
| is_spam = 1 if spam_ham.lower() == 'spam' else 0 | |
| text = (str(subject) + """ | |
| """ + str(message)).strip() | |
| data.append({'text': text, 'is_spam': is_spam}) | |
| df = pd.DataFrame(data) | |
| df.to_csv('enron_spam_clean.csv', index=False) |