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 Q]: First answer my question.
[EX A]: ham

[EX Q]: 500 New Mobiles from 2004, MUST GO! Txt: NOKIA to No: 89545 & collect yours today!From ONLY £1 www.4-tc.biz 2optout 087187262701.50gbp/mtmsg18
[EX A]: spam

[EX Q]: Monthly password for wap. mobsi.com is 391784. Use your wap phone not PC.
[EX A]:
spam