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EMOTION AI

Developed by Hemg
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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