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Distilbert Base Uncased Finetuned Emotion Test 01

Developed by lewtun
A lightweight text sentiment classification model based on DistilBERT, fine-tuned on the emotion dataset
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of DistilBERT, specifically designed for text sentiment classification tasks. Trained on the emotion dataset, it can identify emotional categories in text.

Model Features

Lightweight Architecture
Based on DistilBERT, smaller and faster than standard BERT models
Sentiment Analysis
Optimized specifically for text sentiment classification tasks

Model Capabilities

Text Classification
Sentiment Analysis

Use Cases

Social Media Analysis
User Comment Sentiment Analysis
Analyze sentiment tendencies in social media comments
Customer Feedback Analysis
Product Review Classification
Automatically classify customer emotional feedback on products
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