Education and research · UNIR (La Rioja)
Cyberbullying detection in student texts with NLP
The challenge
UNIR (Universidad Internacional de La Rioja) needed to analyze texts written by students to predict their involvement in cyberbullying situations and each one's role.
What we did
We trained language models with fine-tuning on the texts and, on top of their outputs, applied a classic classification layer with voting (ensemble) to predict involvement in cyberbullying and the role: cyberbully, cybervictim or cyberbystander.
Technologies
Python · PyTorch · Transformers · Fine-tuning · NLP · Ensemble
Result
Automatic classification of the role in cyberbullying situations, supporting research and early detection.