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]: I'd say that's a good sign but, well, you know my track record at reading women
[A]: ham


[Q]: Yar lor he wan 2 go c horse racing today mah, so eat earlier lor. I ate chicken rice. U?
[A]: ham


[Q]: Ok lor but not too early. Me still having project meeting now.
[A]:
ham