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’.

Example Input: TheMob> Check out our newest selection of content, Games, Tones, Gossip, babes and sport, Keep your mobile fit and funky text WAP to 82468
Example Output: spam

Example Input: I am in tirupur da, once you started from office call me.
Example Output: ham

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