kdent/spam_blocker
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Steps Training: get list of message files for each file: - read email message to extract from address and subject line. (read_file.c, msg_content.c) - tokenize the from address ignoring the address itself and the subject line o look for other features like camel caps, numbers for letters substitution (doc_features.c) - store each unique token in the list of words - create a matrix of all the words in the corpus
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Spam classifier based on email headers only
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