Moral moundations of spirituality and religion through Natural Language Processing

To explore the similarities/differences between the moral contexts in which scholars use the terms religion and spirituality, we use Moral Foundations Dictionary for Linguistic Analyses 2.0 (MFD), a dictionary developed to assess the moral content of text, and a Natural Language Processing algorithm...

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Главные авторы: Alpaslan, Can M. (Автор) ; Mitroff, Ian I. 1938- (Автор)
Формат: Электронный ресурс Статья
Язык:Английский
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Опубликовано: International Association of Management, Spirituality & Religion 2024
В: Journal of management, spirituality & religion
Год: 2024, Том: 21, Выпуск: 2, Страницы: 184-205
Другие ключевые слова:B Word2vec
B Spirituality
B Moral Foundations Theory
B Религия (мотив)
B Natural Language Processing
B Aufsatz in Zeitschrift
Online-ссылка: Volltext (lizenzpflichtig)

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520 |a To explore the similarities/differences between the moral contexts in which scholars use the terms religion and spirituality, we use Moral Foundations Dictionary for Linguistic Analyses 2.0 (MFD), a dictionary developed to assess the moral content of text, and a Natural Language Processing algorithm (Word2Vec) that learns the semantic relationships in a corpus. The findings suggest that, except in the virtue words category of the Care foundation dictionary, religion semantically overlaps with a greater percentage of MFD words than does spirituality. Both religion and spirituality have greater semantic overlaps with virtue words than vice words; compared to religion, spirituality's semantic overlaps with vice words are smaller. Spirituality has greater overlaps only with the MFD words for Care and Sanctity; religion has greater semantic overlaps with words for all foundations, particularly the "binding" foundations: Loyalty, Authority, and Sanctity. Similarities notwithstanding, the moral contexts of religion and spirituality feature different aspects of morality. 
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