A Web Crawling and NLP-Powered Model for Filtering Inappropriate Content for Primary School Learners' Online Research
Amanda Chiwanza, Fungayi D. Mukoko, Brian Mupini · International Journal of Innovative Science and Research Technology (IJISRT) · 2024
Most of learning today has gone digital as online methods are being utilized. A lot of activities happen on the internet, people post various material which are both good and bad. However, students whilst studying end up accessing those bad websites like porn sites and other inappropriate content. Ensuring a safe online environment for students is very vital in order for them not to be disturbed or to end up being victims on the internet. Parents and teachers have tried to monitor activities of their children but end up being tricked. Some researchers suggest blocking the unsafe sites which students end up by-passing. This research proposed use of a web crawling and Natural Language Processing powered model for filtering inappropriate content for primary school online learners. The results obtained indicated that inappropriate content was blacklisted, filtered successfully and could not be accessed by students. Therefore, the model was developed correctly and met the intended research goal.