Clean up statuses better in data.py
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data.py
5
data.py
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@ -18,13 +18,12 @@ cur.execute('SELECT text FROM statuses WHERE language=\'en\'')
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statuses = cur.fetchall()
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# Clean up statuses
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for i in range(len(statuses)):
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# Remove HTML stuff
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statuses[i] = unescape(sub(r'<[^>]*>', '', statuses[i][0])).split()
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# Remove URLs and special characters and convert to lowercase
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statuses[i] = [sub(r'[^a-z0-9]', '', word.lower()) for word in statuses[i] if word.find('://') == -1]
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# Remove empty strings
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statuses[i] = ' '.join([word for word in statuses[i] if word != ''])
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statuses[i] = ' '.join([sub(r'[^a-z0-9]', '', word.lower()) for word in statuses[i] if word.find('://') == -1])
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# Save to output file
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