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The Influence of Demographic Factors on Word Usage in Texts Written About Artworks

Authors
Ahn, H.J.
Issue Date
1-Jan-2023
Publisher
SAGE Publications Inc.
Keywords
artworks; deep learning; neural embedding; Text analysis; text mining
Citation
Empirical Studies of the Arts, v.41, no.2, pp 392 - 410
Pages
19
Journal Title
Empirical Studies of the Arts
Volume
41
Number
2
Start Page
392
End Page
410
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/30963
DOI
10.1177/02762374231159999
ISSN
0276-2374
1541-4493
Abstract
Research on text analysis has demonstrated that texts can reveal various characteristics of individuals, such as personality, preferences, or future behavior. However, despite its numerous applications in other fields, text analysis has received very little attention in the field of empirical aesthetics. This study aimed to analyze texts written about artworks and examine the relationship between certain demographic factors and the use of words, using a novel framework for computer-based text analysis based on neural embedding. Participants provided textual descriptions of paintings from various genres and eras, along with demographic information such as gender, age, income, frequency of museum visits, and knowledge of artworks. The results revealed a significant relationship between some demographic factors and word usage, while also highlighting the usefulness of the proposed framework. © The Author(s) 2023.
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