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Indobert Emotion Classification
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Indobert Emotion Classification
Developed by thoriqfy
This is a BERT model based on the Indonesian language, specifically designed for sentiment classification tasks.
Downloads 3,839
Release Time : 5/22/2023
Model Overview
This model is based on the BERT architecture and performs sentiment classification on Indonesian texts, capable of identifying the emotional tendencies in the text.
Model Features
Indonesian language support
Optimized specifically for Indonesian texts, it can better understand the emotional expressions in Indonesian.
BERT architecture
Based on the powerful BERT architecture, it has excellent text understanding ability.
Sentiment classification
Can accurately identify the emotional tendencies in the text.
Model Capabilities
Indonesian text processing
Sentiment analysis
Text classification
Use Cases
Social media analysis
Sentiment analysis of user comments
Analyze the emotional tendencies of user comments on social media
It can help understand users' satisfaction with products or services
Market research
Product feedback analysis
Analyze product reviews in the Indonesian market
It can help identify product advantages and areas for improvement
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