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Roberta Scarcasm Discriminator
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Roberta Scarcasm Discriminator

Developed by XSY
A sarcasm text classifier based on RoBERTa-base architecture, used to distinguish whether a text is sarcastic
Text Classification
Transformers
Open Source License:MIT#Sarcasm detection#High accuracy#Text sentiment analysis
Downloads 30
Release Time : 3/2/2022

Model Overview

This model is a sarcasm text classifier fine-tuned on RoBERTa-base, capable of accurately identifying sarcastic intent in text. Primarily used for text classification tasks in natural language processing.

Model Features

High accuracy
Achieves 96.98% accuracy on the evaluation set, demonstrating excellent performance
Based on RoBERTa architecture
Utilizes RoBERTa's powerful pre-trained language representation capabilities for fine-tuning
Easy to use
Provides GitHub repository instructions for fine-tuning methods, facilitating usage and secondary development

Model Capabilities

Text classification
Sarcasm detection
Sentiment analysis

Use Cases

Social media analysis
Comment sentiment analysis
Identify sarcastic content in social media comments
Accurately distinguishes between sarcastic and non-sarcastic comments
Content moderation
Inappropriate content detection
Detect inappropriate remarks with sarcastic undertones
Assists content moderation systems in identifying potential issues
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