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’.

T-Mobile customer you may now claim your FREE CAMERA PHONE upgrade & a pay & go sim card for your loyalty. Call on 0845 021 3680.Offer ends 28thFeb.T&C's apply
spam

Dear U've been invited to XCHAT. This is our final attempt to contact u! Txt CHAT to 86688 150p/MsgrcvdHG/Suite342/2Lands/Row/W1J6HL LDN 18 yrs
spam

I'm gonna say no. Sorry. I would but as normal am starting to panic about time. Sorry again! Are you seeing on Tuesday?

ham