Anwar Annas

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2025

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Anaselka at SemEval-2025 Task 9: Leveraging SVM and MNB for Detecting Food Hazard
Anwar Annas | Al Hafiz Siagian
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)

Our system for the Sub-task 1 of SemEval-2025 Task 9 has been designed to tackle the complexities of identifying and categorizing food safety incidents from textual data. Through a rigorous experimental setup, we have developed a text classification solution that leveraged state-of-the-art techniques in data preprocessing, feature engineering, and model optimization.
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