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: Nothing. I meant that once the money enters your account here, the bank will remove its flat rate. Someone transfered  &lt;#&gt;  to my account and  &lt;#&gt; dollars got removed. So the banks differ and charges also differ.be sure you trust the 9ja person you are sending account details to cos...
Example Output: ham

Example Input: URGENT! Your Mobile No. was awarded £2000 Bonus Caller Prize on 5/9/03 This is our final try to contact U! Call from Landline 09064019788 BOX42WR29C, 150PPM
Example Output: spam

Example Input: Ok i msg u b4 i leave my house.
Example Output:
ham

