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’.

Q: Did u got that persons story

A: ham
****
Q: I'm used to it. I just hope my agents don't drop me since i've only booked a few things this year. This whole me in boston, them in nyc was an experiment.

A: ham
****
Q: I know you are. Can you pls open the back?

A:
ham
****