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: Ffffffffff. Alright no way I can meet up with you sooner?
Example Output: ham

Example Input: Can't. I feel nauseous. I'm so pissed. I didn't eat any sweets all week cause today I was planning to pig out. I was dieting all week. And now I'm not hungry :/
Example Output: ham

Example Input: Hi 07734396839 IBH Customer Loyalty Offer: The NEW NOKIA6600 Mobile from ONLY £10 at TXTAUCTION!Txt word:START to No:81151 & get Yours Now!4T&
Example Output:
spam