Can I read Optimizing Cyberbullying Detection Methods on EtoBox?
Optimizing Cyberbullying Detection Methods by paisalmen123 is a document available to read on EtoBox.
What is Optimizing Cyberbullying Detection Methods about?
This research presents a hybrid method for detecting cyberbullying on social media by combining N-Gram feature selection with traditional classification models like Logistic Regression. The model achieved an accuracy of 83.6%, effectively identifying cyberbullying texts but struggling with non-cyberbullying classifications due to data imbalance and limitations in semantic context capture. Future improvements may include data balancing techniques and the use of advanced contextual representation models to en
- Author
- paisalmen123
- Language
- EN