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: Missed your call cause I was yelling at scrappy. Miss u. Can't wait for u to come home. I'm so lonely today.

A: ham
****
Q: We tried to contact you re your reply to our offer of 750 mins 150 textand a new video phone call 08002988890 now or reply for free delivery tomorrow

A: spam
****
Q: Got what it takes 2 take part in the WRC Rally in Oz? U can with Lucozade Energy! Text RALLY LE to 61200 (25p), see packs or lucozade.co.uk/wrc & itcould be u!

A:
spam
****