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: Probably money worries. Things are coming due and i have several outstanding invoices for work i did two and three months ago.

A: ham
****
Q: All e best 4 ur driving tmr :-)

A: ham
****
Q: GENT! We are trying to contact you. Last weekends draw shows that you won a £1000 prize GUARANTEED. Call 09064012160. Claim Code K52. Valid 12hrs only. 150ppm

A:
spam
****