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Emotion Text Classifier

Developed by michellejieli
A sentiment analysis model fine-tuned based on DistilRoBERTa-base, specifically designed for classifying 6 basic emotions and neutral states in film and TV dialogue texts
Downloads 416.65k
Release Time : 10/22/2022

Model Overview

This model is a sentiment analysis Transformer model fine-tuned on DistilRoBERTa, specifically designed for emotion classification in scripts like 'Friends', capable of identifying 7 emotional states: anger, disgust, fear, happiness, neutrality, sadness, and surprise.

Model Features

Optimized for Film Scripts
Fine-tuned specifically for dialogues in shows like 'Friends', excelling in script text sentiment analysis
Multi-emotion Classification
Recognizes 7 basic Ekman emotions (including neutral state), covering a comprehensive emotional spectrum
Lightweight Model
Distilled version based on DistilRoBERTa, reducing computational resource requirements while maintaining performance

Model Capabilities

Text Sentiment Analysis
Emotional State Recognition
Social Media Text Analysis

Use Cases

Film Analysis
Script Emotion Analysis
Analyzing emotional changes in film and TV scripts
Can track character emotional development curves
Social Media
Tweet Emotion Classification
Identifying user sentiment tendencies on platforms like Twitter/Reddit
Approximately 88% accuracy (inferred from demo samples)
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