Classifying hate speech with deep learning

Research in progress for an independent Stanford honors thesis in computer science, advised by Chris Potts. We present a neural network classifier for hate speech, augmented by semantic information from Hatebase.

Data from "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
figures		figures
tf_custom_models		tf_custom_models
utility		utility
.gitignore		.gitignore
README.md		README.md
TODO		TODO
analysis.ipynb		analysis.ipynb
bow.py		bow.py
glove.py		glove.py
gridsearch.py		gridsearch.py
hatebase_graph.ipynb		hatebase_graph.ipynb
hatebase_train_embeddings.py		hatebase_train_embeddings.py
hs_eval.py		hs_eval.py
hs_model.py		hs_model.py
predict_hatebase_features.ipynb		predict_hatebase_features.ipynb
run_mittens.ipynb		run_mittens.ipynb
run_mittens.py		run_mittens.py
sk_classify.py		sk_classify.py
test.ipynb		test.ipynb
tf_classify.ipynb		tf_classify.ipynb
tf_classify.py		tf_classify.py
tf_data.py		tf_data.py
tf_test.py		tf_test.py
word2vec_exp.ipynb		word2vec_exp.ipynb

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Classifying hate speech with deep learning

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