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’.

Input: Consider Input: URGENT! Your Mobile No was awarded a £2,000 Bonus Caller Prize on 1/08/03! This is our 2nd attempt to contact YOU! Call 0871-4719-523 BOX95QU BT National Rate

Output: spam


Input: Consider Input: FreeMsg Why haven't you replied to my text? I'm Randy, sexy, female and live local. Luv to hear from u. Netcollex Ltd 08700621170150p per msg reply Stop to end

Output: spam


Input: Consider Input: MAKE SURE ALEX KNOWS HIS BIRTHDAY IS OVER IN FIFTEEN MINUTES AS FAR AS YOU'RE CONCERNED


Output: ham