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: Beautiful Truth against Gravity.. Read carefully: "Our heart feels light when someone is in it.. But it feels very heavy when someone leaves it.." GOOD NIGHT
Example Output: ham

Example Input: Hai ana tomarrow am coming on morning.  &lt;DECIMAL&gt;  ill be there in sathy then we ll go to RTO office. Reply me after came to home.
Example Output: ham

Example Input: Good words.... But words may leave u in dismay many times.
Example Output:
ham