2025
SemEval
SemEval 2025
Anaselka at SemEval-2025 Task 9: Leveraging SVM and MNB for Detecting Food Hazard
Abstract
AbstractOur 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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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing