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’.

[Q]: Hai ana tomarrow am coming on morning.  &lt;DECIMAL&gt;  ill be there in sathy then we ll go to RTO office. Reply me after came to home.
[A]: ham


[Q]: I know you are. Can you pls open the back?
[A]: ham


[Q]: Get 3 Lions England tone, reply lionm 4 mono or lionp 4 poly. 4 more go 2 www.ringtones.co.uk, the original n best. Tones 3GBP network operator rates apply
[A]:
spam