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]: On the road so cant txt
[EX A]: ham

[EX Q]: FreeMsg:Feelin kinda lnly hope u like 2 keep me company! Jst got a cam moby wanna c my pic?Txt or reply DATE to 82242 Msg150p 2rcv Hlp 08712317606 stop to 82242
[EX A]: spam

[EX Q]: WHITE FUDGE OREOS ARE IN STORES
[EX A]:
ham