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: New TEXTBUDDY Chat 2 horny guys in ur area 4 just 25p Free 2 receive Search postcode or at gaytextbuddy.com. TXT ONE name to 89693
Example Output: spam

Example Input: It does it on its own. Most of the time it fixes my spelling. But sometimes it gets a completely diff word. Go figure
Example Output: ham

Example Input: U reach orchard already? U wan 2 go buy tickets first?
Example Output:
ham