NLP-to-identify-toxic-or-abusive-language-for-online-conversation-using-Keras-Deep-Learning-Models

Natural Language Processing: A multi-headed model capable of detecting different types of online discussion toxicity like threats, obscenity, insults, and identity-based hate using Keras RNN LSTM and focal loss to address a hyper-imbalanced dataset.

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Stars: 5
Forks: 2
Open issues: 1

License: None
Language: Jupyter Notebook
Size: 166 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: 3 months ago
Pushed at: about 4 years ago
Last synced at: 2 months ago

Topics: focal-loss, keras-neural-networks, nlp, nlp-machine-learning, toxic-comment-classification

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GitHub / andiosika / NLP-to-identify-toxic-or-abusive-language-for-online-conversation-using-Keras-Deep-Learning-Models