R

Rubertconv Toxic Clf

Developed by IlyaGusev
Russian toxicity text classifier based on rubert-base-cased-conversational model
Downloads 1,381
Release Time : 3/2/2022

Model Overview

This model is used to identify toxic content in Russian text, suitable for toxicity detection in social media comments, dialogue content, and similar scenarios.

Model Features

Russian language optimization
Toxicity detection model specifically optimized for Russian dialogue content
Data augmentation
Uses various data augmentation techniques to improve model robustness
Multi-source training data
Incorporates toxic comment datasets from multiple Russian platforms

Model Capabilities

Russian text classification
Toxic content detection
Social media comment analysis

Use Cases

Content moderation
Social media comment filtering
Automatically identifies and filters toxic comments on social media
Online community management
Helps administrators quickly detect inappropriate remarks
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