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Emotion Model

Developed by umeshkaushik610
A sentiment analysis model fine-tuned based on distilbert-base-uncased for text sentiment classification tasks
Downloads 15
Release Time : 4/15/2025

Model Overview

This model is a fine-tuned version of distilbert-base-uncased for sentiment analysis tasks, primarily used for text sentiment classification

Model Features

Lightweight Model
Based on the DistilBERT architecture, it is more lightweight and efficient than the standard BERT model
Sentiment Analysis
Specifically optimized for text sentiment classification tasks
Efficient Fine-tuning
Fine-tuned on the base model while retaining the original model's general language understanding capabilities

Model Capabilities

Text Classification
Sentiment Analysis
Natural Language Processing

Use Cases

Social Media Analysis
User Comment Sentiment Analysis
Analyze the sentiment tendencies of user comments on social media
Customer Service
Customer Feedback Classification
Automatically classify the sentiment tendencies of customer feedback
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