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: Ho ho - big belly laugh! See ya tomo
Example Output: ham

Example Input: Ever thought about living a good life with a perfect partner? Just txt back NAME and AGE to join the mobile community. (100p/SMS)
Example Output: spam

Example Input: HEY GIRL. HOW R U? HOPE U R WELL ME AN DEL R BAK! AGAIN LONG TIME NO C! GIVE ME A CALL SUM TIME FROM LUCYxx
Example Output:
ham