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Bert Base Cased Finetuned Emotion
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Bert Base Cased Finetuned Emotion

Developed by ncduy
A sentiment classification model fine-tuned on the emotion dataset based on BERT-base-cased
Text Classification
Transformers
Open Source License:Apache-2.0#Sentiment Classification#High F1 Score#BERT Fine-tuning
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is specifically designed for text sentiment classification tasks, capable of identifying emotion types in text. After fine-tuning on the emotion dataset, it achieves an outstanding F1 score of 0.9365.

Model Features

High-Accuracy Sentiment Classification
Achieves an F1 score of 0.9365 on the emotion dataset, demonstrating excellent performance
Based on BERT Architecture
Utilizes BERT's powerful contextual understanding for sentiment analysis
Lightweight Fine-tuning
Requires only a few epochs of fine-tuning on the base model to achieve high performance

Model Capabilities

Text Sentiment Classification
Emotion Recognition
Natural Language Understanding

Use Cases

Sentiment Analysis
Social Media Emotion Monitoring
Analyze user emotions in social media posts
Accurately identifies emotions such as anger, joy, and sadness
Customer Feedback Analysis
Automatically classify emotional tendencies in customer feedback
Helps businesses quickly understand customer satisfaction
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