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: Hmm .. Bits and pieces lol ... *sighs* ...
Example Output: ham

Example Input: Yup i thk cine is better cos no need 2 go down 2 plaza mah.
Example Output: ham

Example Input: Life is more strict than teacher... Bcoz Teacher teaches lesson &amp; then conducts exam, But Life first conducts Exam &amp; then teaches Lessons. Happy morning. . .
Example Output:
ham