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: Nice line said by a broken heart- Plz don't cum 1 more times infront of me... Other wise once again I ll trust U... Good 9t:)
Example Output: 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: Todays Voda numbers ending 7548 are selected to receive a $350 award. If you have a match please call 08712300220 quoting claim code 4041 standard rates app
Example Output:
spam

