An Ant Colony Optimization Approach to Optimize Biblical Sermons

Autor(es)

Lima, Bruno C. S. ; Frango, Ismar S. ; de Castro, Leandro N.

• Tipo de documento: Artigo Científico
• Fonte: DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 21ST INTERNATIONAL CONFERENCE; v. 1259, p. 10-pg., 2025-01-01.

Resumo

Religious literature is among the most widely read ones. The Bible is the normative corpus for Christians. However, it is not a trivial text to read, due to its high degree of literary and linguistic variability, making sermon construction a laborious activity. This work proposes a method, called SwarmaBle, for automating the construction of Biblical sermons through a combination of natural language processing and swarm intelligence. The study combines quantitative and qualitative assessments of SwarmaBle, exploring its sensitivity to two hyperparameters and presenting a discussion about expert-evaluated recommended passages. The results show a consistent performance of SwarmaBle, achieving an average performance above 70% in the quantitative analysis. Domain experts reported positive evaluations regarding SwarmaBle's ability to recommend meaningful Biblical passages for the given topic. (AU)

• Processo FAPESP: 21/11905-0 - Centro de Ciência, Tecnologia e Desenvolvimento para inovação em Medicina e Saúde: inLab.iNova
• Beneficiário: Giovanni Guido Cerri
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento