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: URGENT, IMPORTANT INFORMATION FOR O2 USER. TODAY IS YOUR LUCKY DAY! 2 FIND OUT WHY LOG THERE IS A FANTASTIC SURPRISE AWAITING FOR YOU
Example Output: spam

Example Input: Thank u!
Example Output: ham

Example Input: I‘m parked next to a MINI!!!! When are you coming in today do you think?
Example Output:
ham