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: 22 days to kick off! For Euro2004 U will be kept up to date with the latest news and results daily. To be removed send GET TXT STOP to 83222

A: spam
****
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
****
Q: Thank You for calling.Forgot to say Happy Onam to you Sirji.I am fine here and remembered you when i met an insurance person.Meet You in Qatar Insha Allah.Rakhesh, ex Tata AIG who joined TISSCO,Tayseer.

A:
ham
****
