An Ant Colony Optimization Approach to Optimize Biblical Sermons

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Author(s):	Lima, Bruno C. S. ; Frango, Ismar S. ; de Castro, Leandro N. Total Authors: 3
Document type:	Journal article
Source:	DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 21ST INTERNATIONAL CONFERENCE; v. 1259, p. 10-pg., 2025-01-01.
Abstract
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)

FAPESP's process:	21/11905-0 - Center of Science, Technology and Development for innovation in Medicine and Health: inLab.iNova
Grantee:	Giovanni Guido Cerri
Support Opportunities:	Research Grants - Science Centers for Development