IAMAP842/Comment-Toxicity-Level-Detection-Model-using-Python-and-Deep-Learning
View on GitHub ↗Related repositories →We will be able to take sentences of natural language from a dataset which was provided in jigsaw toxic comment classification challenge and then pass it through a deep learning model and then detect the different elements of toxicity within them.
active 2024-06-19 → 2024-06-19 (UTC)
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Line chart, 1 days from 2024-06-19 to 2024-06-19. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| IAMAP842 | 5 | 5 | 0 | 0 |
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