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Indonesia Emotion Roberta
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Indonesia Emotion Roberta
Developed by akahana
An Indonesian sentiment analysis model based on the RoBERTa architecture, capable of identifying emotional tendencies in text.
Downloads 27
Release Time : 3/2/2022
Model Overview
This model is specifically designed for sentiment analysis of Indonesian text, capable of recognizing emotional categories such as happiness, and is suitable for scenarios like social media and customer service dialogues.
Model Features
Indonesian Sentiment Recognition
Optimized sentiment analysis capability for Indonesian, accurately identifying emotional tendencies in text.
Based on RoBERTa Architecture
Utilizes the powerful RoBERTa pre-trained model architecture with excellent text comprehension capabilities.
Easy to Use
Quickly callable via Hugging Face's pipeline interface without complex configurations.
Model Capabilities
Indonesian Text Sentiment Classification
Emotional Tendency Analysis
Short Text Sentiment Recognition
Use Cases
Social Media Analysis
User Comment Sentiment Analysis
Analyze the sentiment tendencies of Indonesian social media comments.
Can accurately identify positive emotions such as happiness.
Customer Service
Customer Service Dialogue Sentiment Monitoring
Real-time monitoring of customer emotions in Indonesian customer service dialogues.
Helps customer service personnel adjust communication strategies promptly.
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