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: But i have to. I like to have love and arrange.
Example Output: ham

Example Input: That would be great. We'll be at the Guild. Could meet on Bristol road or somewhere - will get in touch over weekend. Our plans take flight! Have a good week
Example Output: ham

Example Input: You have an important customer service announcement from PREMIER. Call FREEPHONE 0800 542 0578 now!
Example Output:
spam