A Naive Bayes classifier trains on 28 reviews of a waakye spot in Accra and learns a weight for every word: green for happy, red for unhappy. Test reviews ride to a scale and are sorted. Then switch off negation handling and watch "not good" come out happy, drop smoothing, or train on mostly happy reviews and see why accuracy alone lies. This lesson needs JavaScript.