Detecting Racist and Bad Words Using Text Mining in Social Media
Amadeo Willem, Gavin Sukhwir, Derwin Suhartono, Leonie Christina · 2021
The use of social media has grown rapidly in the last decades. Many of these social media platforms, i.e., Twitter, do not screen or remove potentially offensive/ harmful tweets. It can cause discomfort for the users, especially if minors encounter these words while they are surfing the media. We came up with a profanity detection model with text mining that uses bag of words algorithm. Then we applied four different classifiers to see which one gets the highest accuracy score. The results show a high accuracy performance, with Random Forest classification being the highest with 97.5%.