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:
Yar lor he wan 2 go c horse racing today mah, so eat earlier lor. I ate chicken rice. U?

Ex Output:
ham


Ex Input:
Yeah hopefully, if tyler can't do it I could maybe ask around a bit

Ex Output:
ham


Ex Input:
Cant think of anyone with * spare room off * top of my head

Ex Output:

ham