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 Q]: Mum ask ü to buy food home...
[EX A]: ham

[EX Q]: Hi. Customer Loyalty Offer:The NEW Nokia6650 Mobile from ONLY £10 at TXTAUCTION! Txt word: START to No: 81151 & get yours Now! 4T&Ctxt TC 150p/MTmsg
[EX A]: spam

[EX Q]: wow. You're right! I didn't mean to do that. I guess once i gave up on boston men and changed my search location to nyc, something changed. Cuz on my signin page it still says boston.
[EX A]:
ham