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Project // 01
Sentiment Analysis
— MBG Program
Natural Language Processing · 2024
A Natural Language Processing project that classifies public sentiment from posts on platform X (Twitter) regarding Indonesia's Makan Bergizi Gratis (MBG) program.
The system utilizes IndoBERT for contextual Indonesian text representation and BiLSTM for sentiment classification into positive, neutral, and negative classes. Achieved 93.28% accuracy on test data.
93.28%
Accuracy
3
Classes
X
Platform
Live
Status
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