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: Chk in ur belovd ms dict
Example Output: ham

Example Input: sorry, no, have got few things to do. may be in pub later.
Example Output: ham

Example Input: Cause I'm not freaky lol
Example Output:
ham