arabic-toxic 0.2.0

Arabic multi-label toxic content classifier

arabic-toxic

Arabic multi-label toxic content classifier for content moderation.

Install

pip install arabic-toxic

Usage

from arabic_toxic import classify, predict_proba, classify_many

print(classify("يلعن امك يا ابن الحمار"))

texts = [
    "أنت إنسان محترم",
    "يلعن امك يا ابن الحمار"
]
print(classify_many(texts))

Output example

{
  "text": "يلعن امك يا ابن الحمار",
  "labels": ["Cussing"],
  "top_label": "Cussing",
  "is_toxic": True,
  "scores": {
    "Cussing": 99.1,
    "Violence": 0.4
  }
}

Labels

• Appearance
• Cussing
• Hatred
• NOT
• Racial
• Sexual
• Violence

Model

This package uses Arabic normalization, TF-IDF word/character n-grams, and a multi-label One-vs-Rest SGD logistic classifier.

Test-set results from the provided split:

Metric	Score
Macro F1	0.9109
Micro F1	0.9205
Subset Accuracy	0.8433
Hamming Loss	0.0307

Notes

This model is intended for Arabic content-moderation research and production prototyping. Always validate on your own domain data before relying on automated moderation decisions.