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sarih

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Offline Arabic sentiment across dialects.

Data & Analytics#offline#moderation#nlp#dialects#sentiment#content-filter#arabic
AuthorMoshe-ship
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Arabic content moderation and sentiment detection across five dialects, designed to operate offline.

Core Features & Use Cases

  • Offline Arabic sentiment analysis across five dialects to identify toxic or inappropriate content.
  • Content filtering to support safe user-generated content in multilingual Arabic environments.
  • Use Case: Moderating comments on a social platform in Egyptian, Gulf, Levantine, Maghrebi, and Iraqi dialects.

Quick Start

Run sarih on your dataset to filter out harmful text.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: sarih
Download link: https://github.com/Moshe-ship/mkhlab/archive/main.zip#sarih

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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