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: Ever thought about living a good life with a perfect partner? Just txt back NAME and AGE to join the mobile community. (100p/SMS)

Output: spam


Input: Consider Input: Guess what! Somebody you know secretly fancies you! Wanna find out who it is? Give us a call on 09065394514 From Landline DATEBox1282EssexCM61XN 150p/min 18

Output: spam


Input: Consider Input: I place all ur points on e cultures module already.


Output: ham