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]: Haha get used to driving to usf man, I know a lot of stoners
[EX A]: ham

[EX Q]: network operator. The service is free. For T & C's visit 80488.biz
[EX A]: spam

[EX Q]: My life Means a lot to me, Not because I love my life, But because I love the people in my life, The world calls them friends, I call them my World:-).. Ge:-)..
[EX A]:
ham