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: Sorry, I'll call later
Example Output: ham

Example Input: WIN: We have a winner! Mr. T. Foley won an iPod! More exciting prizes soon, so keep an eye on ur mobile or visit www.win-82050.co.uk
Example Output: spam

Example Input: SMS. ac sun0819 posts HELLO:"You seem cool, wanted to say hi. HI!!!" Stop? Send STOP to 62468
Example Output:
spam