Spam $($or junk email$)$ costs U$.$S$.$ organizations billions of dollars a year in spam$-$prevention software, equipment, network resources, bandwidth, and lost productivity. Research online some of the most common spam email messages and words. Create a list of $30$ words and phrases commonly found in spam messages. Write an application in which the user enters an email message. Then your application will scan the message for each of the $30$ keywords or phrases. For each occurrence of one of these within the message, add a point to the message's "spam score". Next, rate the likelihood that the message is spam, based on the number of points received. Display the user's spam score, the likelihood message that it is spam, and the words$/$phrases which caused it to be spam.