instruction:
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’.
question:
FREE for 1st week! No1 Nokia tone 4 ur mobile every week just txt NOKIA to 8077 Get txting and tell ur mates. www.getzed.co.uk POBox 36504 W45WQ 16+ norm150p/tone
answer:
spam


question:
Urgent Ur £500 guaranteed award is still unclaimed! Call 09066368327 NOW closingdate04/09/02 claimcode M39M51 £1.50pmmorefrommobile2Bremoved-MobyPOBox734LS27YF
answer:
spam


question:
Chk in ur belovd ms dict
answer:

ham