Enhancing Thirukkural couplet section classification: a meta-model learning approach

Abstract

Thirukkural, a widely translated classical Tamil literary work, is structured into three sections—Arathuppal (virtue), Porutpal (wealth), and Kamathuppal (love). This study proposes a novel meta-model approach to classify Thirukkural couplets, into these sections. In this study, we propose a meta-model approach that integrates various traditional machine learning (ML) algorithms. By leveraging meta-model learning and stacking methodologies, our approach improves classification accuracy and robustness compared to individual models. The results demonstrate the effectiveness of a metamodel learning strategy with TFIDF features in literary text classification.