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’.

Example Input: Ummmmmaah Many many happy returns of d day my dear sweet heart.. HAPPY BIRTHDAY dear
Example Output: ham

Example Input: Ur cash-balance is currently 500 pounds - to maximize ur cash-in now send GO to 86688 only 150p/msg. CC 08718720201 HG/Suite342/2Lands Row/W1J6HL
Example Output: spam

Example Input: 4mths half price Orange line rental & latest camera phones 4 FREE. Had your phone 11mths+? Call MobilesDirect free on 08000938767 to update now! or2stoptxt T&Cs
Example Output:
spam