Research Assistant, AI & Data Analytics · Universitas AMIKOM Yogyakarta
OtherTextClassification
Developed and published a disaster tweet classification model as part of peer-reviewed NLP research. Labeled and evaluated textual data for machine learning purposes within a university research setting. Benchmarked deep learning model configurations to optimize label accuracy and reproducibility.
• Labeled textual disaster data for emergency classification research.
• Used Python scripts for preprocessing, annotation, and evaluation.
• Achieved an 83% recall and 82% F1 score using LSTM and FastText architectures.
• Presented findings at an international academic conference and published in IEEE indexed journal.
Developed and published a disaster tweet classification model as part of peer-reviewed NLP research. Labeled and evaluated textual data for machine learning purposes within a university research setting. Benchmarked deep learning model configurations to optimize label accuracy and reproducibility. • Labeled textual disaster data for emergency classification research. • Used Python scripts for preprocessing, annotation, and evaluation. • Achieved an 83% recall and 82% F1 score using LSTM and FastText architectures. • Presented findings at an international academic conference and published in IEEE indexed journal.
2022 - 2023