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: It does it on its own. Most of the time it fixes my spelling. But sometimes it gets a completely diff word. Go figure
Example Output: ham

Example Input: The world is running and i am still.maybe all are feeling the same,so be it.or i have to admit,i am mad.then where is the correction?or let me call this is life.and keep running with the world,may be u r also running.lets run.
Example Output: ham

Example Input: As a valued customer, I am pleased to advise you that following recent review of your Mob No. you are awarded with a £1500 Bonus Prize, call 09066364589
Example Output:
spam