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’.

Ex Input:
URGENT!: Your Mobile No. was awarded a £2,000 Bonus Caller Prize on 02/09/03! This is our 2nd attempt to contact YOU! Call 0871-872-9755 BOX95QU

Ex Output:
spam


Ex Input:
Nutter. Cutter. Ctter. Cttergg. Cttargg. Ctargg. Ctagg. ie you

Ex Output:
ham


Ex Input:
No we sell it all so we'll have tons if coins. Then sell our coins to someone thru paypal. Voila! Money back in life pockets:)

Ex Output:

ham