Implementation of MSc thesis on automating hate speech detection
Hateful content on social media
How can we improve the performance of automated systems on identifying hate speech when they must learn from very few hateful samples?
Our dataset:
Source: 80k annotated tweets
python deep_learning_experiments.py --num_epochs 100 --model CNN --name test --seed 28 --embedding_key twitter --embedding_level word --experiment_flag 2
Full paper: Coming Soon
Contact: ashe.magalhaes@gmail.com
Copyright 2019 Ashe Magalhaes
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