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Prediksi Emosi Indobert
A sentiment analysis model based on the IndoBERT pre-trained model for predicting six types of emotions in Indonesian sentences.
Downloads 934
Release Time : 1/12/2023
Model Overview
This model fine-tunes the IndoBERT pre-trained model on Indonesian Twitter data, capable of predicting six emotion types: anger, sadness, happiness, love, fear, and disgust. The prediction results are displayed as percentages for each emotion.
Model Features
Multi-emotion Classification
Capable of predicting six different emotion types simultaneously, including anger, sadness, happiness, love, fear, and disgust.
Indonesian Language Optimization
Specifically trained and optimized for Indonesian text, making it particularly suitable for analyzing Indonesian social media content.
Probability Output
Prediction results are displayed as percentages for each emotion, providing more detailed emotion analysis.
Model Capabilities
Indonesian Text Sentiment Analysis
Multi-emotion Classification
Social Media Text Analysis
Use Cases
Social Media Analysis
Twitter Emotion Monitoring
Analyze user emotions on Indonesian Twitter to understand public attitudes toward specific topics.
Can identify six basic emotions and their distribution ratios.
Market Research
Product Feedback Analysis
Analyze Indonesian consumers' emotional responses to products to understand market reactions.
Can quantify the proportion of positive and negative emotions.
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