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: Probably money worries. Things are coming due and i have several outstanding invoices for work i did two and three months ago.
Example Output: ham

Example Input: Hmmm ... I thought we said 2 hours slave, not 3 ... You are late ... How should I punish you ?
Example Output: ham

Example Input: So ü pay first lar... Then when is da stock comin...
Example Output:
ham