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.
🌉
Interdisciplinary Bridge
— Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— food safety incident
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio