Tech Stack
Python
NLP
IndoBERT
SQL
Excel
Description
As part of Telkom Indonesia's data science division, I developed an Indonesian text corrector using IndoBERT — a transformer-based NLP model specifically trained on Indonesian language data.
The corrector was integrated into the Government Sentiment Analysis pipeline to improve labeling accuracy on social media data.
- Developed Indonesian text corrector using IndoBERT transformer model.
- Improved labeling accuracy for Government Sentiment Analysis on social media posts.
- Built and labeled datasets from government-related social media posts for model training.
- Directly improved downstream sentiment analysis model performance through quality data labeling.
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NLP Text Corrector
IndoBERT-based text correction model for Indonesian government sentiment analysis.