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: 1000's flirting NOW! Txt GIRL or BLOKE & ur NAME & AGE, eg GIRL ZOE 18 to 8007 to join and get chatting!
A:
spam