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]: I'll text you when I drop x off
[EX A]: ham

[EX Q]: Sex up ur mobile with a FREE sexy pic of Jordan! Just text BABE to 88600. Then every wk get a sexy celeb! PocketBabe.co.uk 4 more pics. 16 £3/wk 087016248
[EX A]: spam

[EX Q]: Dear Voucher Holder, 2 claim this weeks offer, at your PC go to [link] Ts&Cs apply.2 stop texts txt STOP to 80062.
[EX A]:
spam

