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’.

Ex 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. 08715500022 rpl Stop 2 cnl

Ex Output:
spam


Ex Input:
Your account has been refilled successfully by INR  &lt;DECIMAL&gt; . Your KeralaCircle prepaid account balance is Rs  &lt;DECIMAL&gt; . Your Transaction ID is KR &lt;#&gt; .

Ex Output:
ham


Ex Input:
Oops, I'll let you know when my roommate's done

Ex Output:

ham