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EMOTION AI
A sentiment analysis model based on DistilBERT, fine-tuned on an unknown dataset with an accuracy of 56.16%
Downloads 20
Release Time : 1/3/2025
Model Overview
This model is a sentiment classification model based on the DistilBERT architecture, designed for text sentiment analysis tasks.
Model Features
Lightweight Architecture
Based on DistilBERT, smaller and faster than standard BERT models
Sentiment Analysis
Capable of classifying text sentiment
Fine-tuned Model
Optimized through fine-tuning on a specific dataset
Model Capabilities
Text Sentiment Classification
English Text Processing
Use Cases
Social Media Analysis
User Comment Sentiment Analysis
Analyze sentiment tendencies in user comments on social media
Accuracy 56.16%
Customer Service
Customer Feedback Classification
Automatically classify sentiment tendencies in customer feedback
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