TASK DEFINITION: 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’.
PROBLEM: What time you think you'll have it? Need to know when I should be near campus

SOLUTION: ham

PROBLEM: 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

SOLUTION: spam

PROBLEM: our mobile number has won £5000, to claim calls us back or ring the claims hot line on 09050005321.

SOLUTION:
spam