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Polite Bert

Developed by NOVA-vision-language
Polite Bert is a BERT fine-tuned model designed to grade the politeness level of English sentences into four categories: impolite, neutral, somewhat polite, and polite.
Downloads 100
Release Time : 5/18/2023

Model Overview

This model automatically assesses the politeness level of text by analyzing tone and word choice, suitable for scenarios like customer service dialogue analysis and social media monitoring.

Model Features

Multi-level Politeness Classification
Capable of distinguishing four levels of politeness, offering finer granularity than traditional binary classification.
Multi-domain Training Data
Trained on diverse datasets including parliamentary transcripts, customer service dialogues, forum discussions, and hotel responses to enhance generalization.
Extreme Speech Identification
Incorporates 4Chan extreme speech data, specifically strengthening the ability to recognize impolite expressions.

Model Capabilities

Text Politeness Analysis
Tone Recognition
Dialogue Quality Assessment

Use Cases

Customer Service
Customer Service Dialogue Quality Monitoring
Automatically evaluates the politeness level of customer service responses to improve service quality.
Social Media
Community Content Moderation
Identifies impolite or offensive remarks to assist in content moderation.
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