In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.

Q: Orange customer, you may now claim your FREE CAMERA PHONE upgrade for your loyalty. Call now on 0207 153 9996. Offer ends 14thMarch. T&C's apply. Opt-out availa

A: spam
****
Q: Was actually about to send you a reminder today. Have a wonderful weekend

A: ham
****
Q: He has lots of used ones babe, but the model doesn't help. Youi have to bring it over and he'll match it up

A:
ham
****