chachamatcha/DL_Text_Classification

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.

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Experimental

This helps online communities and content platforms automatically identify and flag different types of inappropriate or 'toxic' user comments. It takes raw text comments as input and outputs a prediction of how likely each comment is to be toxic, severely toxic, obscene, a threat, an insult, or identity-hate. Content moderators, community managers, or platform administrators can use this to improve discussion quality at scale.

No commits in the last 6 months.

Use this if you need pre-built deep learning models and a detailed guide to detect various forms of toxicity in user-generated text, particularly for online discussion platforms.

Not ideal if you're looking for a simple, out-of-the-box API service for content moderation without needing to understand or implement deep learning models yourself.

content-moderation community-management online-safety text-analysis platform-administration
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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14

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Apr 29, 2018

Commits (30d)

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