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]: Thanks for picking up the trash.
[EX A]: ham

[EX Q]: Hmmm ... I thought we said 2 hours slave, not 3 ... You are late ... How should I punish you ?
[EX A]: ham

[EX Q]: Dear reached railway. What happen to you
[EX A]:
ham