B

BERT Tweet Sentiment TEST

Developed by joe5campbell
BERT-based fine-tuned Twitter sentiment analysis model achieving 100% validation accuracy on the evaluation set
Downloads 14
Release Time : 3/2/2022

Model Overview

This model is a BERT fine-tuned model for sentiment analysis of Twitter text, capable of determining the emotional tendency of tweets

Model Features

High Accuracy
Achieves 100% accuracy performance on the validation set
BERT Fine-tuning
Domain-adapted fine-tuning based on the powerful BERT-base model
Fast Convergence
Achieves good results with just 1 training epoch

Model Capabilities

English text sentiment analysis
Twitter content classification
Short text understanding

Use Cases

Social Media Analysis
Public Opinion Monitoring
Analyze sentiment trends on Twitter regarding specific topics
Accurately identifies positive/negative emotions
Brand Reputation Management
Monitor user emotional feedback towards brands
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase