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: Urgent! Please call 09061743810 from landline. Your ABTA complimentary 4* Tenerife Holiday or #5000 cash await collection SAE T&Cs Box 326 CW25WX 150 ppm
Example Output: spam

Example Input: U have a secret admirer who is looking 2 make contact with U-find out who they R*reveal who thinks UR so special-call on 09058094565
Example Output: spam

Example Input: What is important is that you prevent dehydration by giving her enough fluids
Example Output:
ham