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’.

Input: Consider Input: Orange customer, you may now claim your FREE CAMERA PHONE upgrade for your loyalty. Call now on 0207 153 9996. Offer ends 14thMarch. T&C's apply. Opt-out availa

Output: spam


Input: Consider Input: Ringtone Club: Get the UK singles chart on your mobile each week and choose any top quality ringtone! This message is free of charge.

Output: spam


Input: Consider 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


Output: spam