Model ML Development and Data Labeling
As part of my Bachelor’s thesis in Computer Science at Universitas Muhammadiyah Sukabumi, I conducted a project focused on building a text classification model for defamation detection in online content. The research involved collecting and annotating text samples, applying preprocessing techniques such as tokenization, stemming, and stop-word removal, and using Support Vector Machines alghorithm. I also explored feature engineering methods like TF-IDF and word embeddings to capture semantic meaning more effectively. The models were evaluated using precision, recall, F1-score, and accuracy to determine their reliability in identifying harmful language. This project not only strengthened my technical expertise in Python, NLP, and machine learning but also highlighted the ethical importance of AI in promoting safer digital communication environments.