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Emotion English Roberta Large
A fine-tuned English text emotion classification model based on RoBERTa-large, capable of recognizing 7 basic emotions
Downloads 3,076
Release Time : 3/2/2022
Model Overview
This model is specifically designed for sentiment analysis of English texts, accurately classifying the 6 basic emotions defined by Ekman along with neutral emotions. Suitable for scenarios such as social media text analysis.
Model Features
Multi-emotion Classification
Capable of recognizing 7 different emotions (anger, disgust, fear, happiness, neutral, sadness, surprise)
Social Media Optimization
Particularly suitable for short text analysis on platforms like Twitter and Reddit
Based on Powerful Pre-trained Model
Fine-tuned from RoBERTa-large, inheriting its excellent text comprehension capabilities
Model Capabilities
English text sentiment analysis
Short text emotion recognition
Social media content emotion classification
Use Cases
Social Media Analysis
Twitter Sentiment Monitoring
Analyzing Twitter users' emotional reactions to specific topics
Can identify public emotional tendencies toward events
Reddit Comment Analysis
Assessing emotional distribution in forum discussions
Helps understand community emotional dynamics
Content Moderation
Negative Emotion Detection
Automatically identifying content with anger or disgust emotions
Assists content moderation systems in flagging potentially problematic content
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