A Study on the Analysis of the Interrelationship between the Epic of Gilgamesh and the Bible Using Text Mining

Focusing on the Episode of the Great Flood

Authors

  • Jinoon Kang Busan University of foreign Studies
  • Sujung Kim Busan University of Foreign Studies

Abstract

https://doi.org/10.21860/j.13.2.9

 

The development of human civilization is a continuous process of imitation and creation  based on exchange. Most historical research is performed qualitatively, so consequently, historical interpretations tend to be biased with personal or subjective viewpoints. In this  context, Bible is the most-read book in history and comparative studies are steadily conducted owing to its similarities with the myths of ancient civilizations. This study combines qualitative and quantitative analysis to analyze the interrelationship between a myth and the Bible. Specifically, intertextuality analysis was performed around the great flood episode in Mesopotamia’s Epic of Gilgamesh and the Bible’s Genesis. Text mining–based association rule analysis and word cloud analysis were combined to verify this. Intertextuality analysis revealed the interrelationship between the Epic of Gilgamesh and the Bible; moreover, text mining helped verify the association in intertextuality analysis. Through this, the study proposes a research method for civilization exchange studies by objectively approaching the flow and directionality of exchanges among civilizations in the ancient Mediterranean regions. Furthermore, along with civilization exchange studies, a practical convergent research method for studies in the areas of humanities, regional studies, and history was suggested.
Keywords: Data science, Epic of Gilgamesh, Great flood, Mesopotamia, Myth, Mesopotamian civilization, Bible, Text mining, Association analysis, Civilization Exchange studies, Research methodology.

Author Biography

Sujung Kim, Busan University of Foreign Studies

Department of Arab Studies

Published

2023-01-23

Issue

Section

Artificial inteligence Humanities (AIH special section)