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Bert Base Indonesian 1.5G Sentiment Analysis Smsa
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Bert Base Indonesian 1.5G Sentiment Analysis Smsa

Developed by ayameRushia
This is an Indonesian sentiment analysis model based on the BERT architecture, fine-tuned on the SMSA dataset with an accuracy of 93.73%
Text Classification
Transformers
 OtherOpen Source License:MIT#Indonesian Sentiment Analysis#High Accuracy (93.7%)#BERT Fine-tuning
Downloads 55.85k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Indonesian text sentiment analysis tasks, capable of accurately determining the emotional tendency of text

Model Features

High Accuracy
Achieves 93.73% accuracy on the SMSA evaluation set
Indonesian Optimization
Specifically trained and optimized for Indonesian text
BERT Architecture
Based on the powerful BERT-base architecture with excellent text comprehension capabilities

Model Capabilities

Indonesian Text Classification
Sentiment Analysis
Natural Language Understanding

Use Cases

Social Media Analysis
Comment Sentiment Analysis
Analyze the emotional tendencies of user comments on social media
Can accurately identify positive, negative, and neutral emotions
Customer Feedback Analysis
Customer Satisfaction Evaluation
Automatically analyze the emotional tendencies of Indonesian customer feedback
Helps businesses quickly understand customer satisfaction levels
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