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 Input:
Haha get used to driving to usf man, I know a lot of stoners

Ex Output:
ham


Ex Input:
Going for dinner.msg you after.

Ex Output:
ham


Ex Input:
Not sure yet, still trying to get a hold of him

Ex Output:

ham