Social group identities and semantic domains in the ancient Near East

Abstract Digital Humanities has an increasing need for widely applicable and easy-to-use methods across disciplinary boundaries. We believe that the cross-disciplinary methods we have developed for the study of the ancient Near East are useful for the study of other research questions outside the field of “Digital Assyriology”. The article presents an overview of automated language processing for lexical-semantic analysis, social network analysis, and content analysis. We draw on the work in our research group, which aims to address how changing empires affect social group identities and lifeways in the first millennium BCE in Mesopotamia. The article places the methods our research team has developed into the larger methodological context of Digital Humanities (DH). The article presents an overview of the tools our research group has found useful in our study of ancient social groups. Sections 1 and 2 give the necessary background for the reader to understand the particular challenges related to the study of ancient Mesopotamia and how we have overcome them. The concrete case studies presented in Sections 3 and 4, however, are kept as general as possible, to facilitate similar approaches in adjacent fields of study. Our methodology and approaches are well documented and openly available, and in our view can be used on similar text materials, by other groups interested in DH approaches.

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Publication Details

Journal
Digital Scholarship in the Humanities
Published
2024-08-08
DOI
https://doi.org/10.1093/llc/fqae041
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
1.89

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article

Social group identities and semantic domains in the ancient Near East

Krister Lindén, Céline Debourse, Aleksi Sahala, Rick Bonnie et al.
1 citations
Digital Scholarship in the Humanities
Computational and Text Analysis Methods
1.89
article

Social group identities and semantic domains in the ancient Near East

Krister Lindén, Céline Debourse, Aleksi Sahala, Rick Bonnie, Elisabeth Holmqvist, Marta Lorenzón, Saana Svärd, Melanie Wasmuth, Sam Hardwick, Heidi Jauhiainen, Ellie Bennett, Tero Alstola, Lena Tambs
article en
1 citations

Abstract

Abstract Digital Humanities has an increasing need for widely applicable and easy-to-use methods across disciplinary boundaries. We believe that the cross-disciplinary methods we have developed for the study of the ancient Near East are useful for the study of other research questions outside the field of “Digital Assyriology”. The article presents an overview of automated language processing for lexical-semantic analysis, social network analysis, and content analysis. We draw on the work in our research group, which aims to address how changing empires affect social group identities and lifeways in the first millennium BCE in Mesopotamia. The article places the methods our research team has developed into the larger methodological context of Digital Humanities (DH). The article presents an overview of the tools our research group has found useful in our study of ancient social groups. Sections 1 and 2 give the necessary background for the reader to understand the particular challenges related to the study of ancient Mesopotamia and how we have overcome them. The concrete case studies presented in Sections 3 and 4, however, are kept as general as possible, to facilitate similar approaches in adjacent fields of study. Our methodology and approaches are well documented and openly available, and in our view can be used on similar text materials, by other groups interested in DH approaches.

Digital Scholarship in the HumanitiesVol. 39(3)
University of Helsinki (FI)
Academy of Finland
Quality Education
Openalex Percentile: Top 12%
Computational and Text Analysis Methods
1.89
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