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]: 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]: Your credits have been topped up. Your renewal Pin is tgxxrz
[EX A]: spam

[EX Q]: Urgent! Please call 09061743811 from landline. Your ABTA complimentary 4* Tenerife Holiday or £5000 cash await collection SAE T&Cs Box 326 CW25WX 150ppm
[EX A]:
spam