This study develops a taxonomy classification model using traditional and deep learning methods. After data exploration, a Linear Support Vector Classifier (SVC) provides a baseline performance. However, a deep learning model with TF-IDF vectorization, dynamic learning rate scheduling, and early stopping proves more effective.
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Desmond Boateng (2024) studied this question.
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