MS thesis · 2026
Advancing Deep Learning and Neural Network Techniques for AI and Human Text Classification
I built and compared deep learning models that separate AI-generated from human-written text on a balanced dataset of about 500,000 samples. A paper based on the thesis is in preparation.
Models compared
- LSTM
- Fine-tuned BERT
- TF-IDF + BERT + LightGBM
- Hybrid BERT + LSTM
- F1-score
- 0.995
- Text samples
- ~500,000