Multi-Label-Toxic-Comment-Detection-With-Deep-Learning

Multi-Label-Toxic-Comment-Detection-With-Deep-Learning

Hazrat-Ali9

πŸͺ£ Multi 🧰 Label πŸ“’ Toxic πŸ““ Comment πŸ“˜ Detection πŸ“™ Deep πŸ“” Learning πŸ“š is an NLP ☎ designed to πŸ“Ή automatically ⚽ detect 🏈 classify ⚾ toxic πŸ₯Ž comments πŸ€ into β›Έ multiple πŸ“Ÿ categories ✈ such as toxic πŸš€ severe 🚁obscene πŸ›¬ threat β›΄ insult 🚟 identity πŸ›Έ deep 🚞 models it πŸšƒ helps build πŸ›Ό inclusive πŸš‚ communities 🏰 by filtering 🏘 harmful πŸ₯‹

44 Stars
0 Forks
0 Watchers
71.1 SrcLog Score
Cost to Build
$500
Market Value
$715

Growth over time

5 data points  Β·  2026-04-10 β†’ 2026-08-09
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What is the Hazrat-Ali9/Multi-Label-Toxic-Comment-Detection-With-Deep-Learning GitHub project? Description: "πŸͺ£ Multi 🧰 Label πŸ“’ Toxic πŸ““ Comment πŸ“˜ Detection πŸ“™ Deep πŸ“” Learning πŸ“š is an NLP ☎ designed to πŸ“Ή automatically ⚽ detect 🏈 classify ⚾ toxic πŸ₯Ž comments πŸ€ into β›Έ multiple πŸ“Ÿ categories ✈ such as toxic πŸš€ severe 🚁obscene πŸ›¬ threat β›΄ insult 🚟 identity πŸ›Έ deep 🚞 models it πŸšƒ helps build πŸ›Ό inclusive πŸš‚ communities 🏰 by filtering 🏘 harmful πŸ₯‹". Explain what it does, its main use cases, key features, and who would benefit from using it.

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