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]: LOOK AT AMY URE A BEAUTIFUL, INTELLIGENT WOMAN AND I LIKE U A LOT. I KNOW U DONT LIKE ME LIKE THAT SO DONT WORRY.
[EX A]: ham

[EX Q]: Hahaha..use your brain dear
[EX A]: ham

[EX Q]: Y dun cut too short leh. U dun like ah? She failed. She's quite sad.
[EX A]:
ham