Spiritual versus religious: a Natural Language Processing perspective
The method of Natural Language Processing (NLP) is used to analyze the literature on spirituality and religion. Specifically, the corpus produced in the spirituality/religion related scholarly literatures are used to train unsupervised neural network models (Word2Vec) that learn the extent to which...
| Autori: | ; |
|---|---|
| Tipo di documento: | Elettronico Articolo |
| Lingua: | Inglese |
| Verificare la disponibilità: | HBZ Gateway |
| Journals Online & Print: | Caricamento...
|
| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Pubblicazione: |
International Association of Management, Spirituality & Religion
2024
|
| In: |
Journal of management, spirituality & religion
Anno: 2024, Volume: 21, Fascicolo: 1, Pagine: 63-82 |
| Notazioni IxTheo: | AD Sociologia delle religioni AG Vita religiosa ZG Scienza dei media; Digitalità; Scienza della comunicazione |
| Altre parole chiave: | B
Spirituality
B Stochastic Neighbor Embedding B Natural Language Processing B Word2Vec B Aufsatz in Zeitschrift B Religione |
| Accesso online: |
Volltext (lizenzpflichtig) |
| Riepilogo: | The method of Natural Language Processing (NLP) is used to analyze the literature on spirituality and religion. Specifically, the corpus produced in the spirituality/religion related scholarly literatures are used to train unsupervised neural network models (Word2Vec) that learn the extent to which words associate syntactically and semantically with one another. These models provide insights into what scholars mean when they use such terms as spiritual, religious, and spiritual-but-not-religious. For instance, they reveal that in the scholarly literature the term spiritual is used more often in contexts that describe an individual's experiences, emotions, and feelings, whereas the term religious is used more often in contexts that highlight an individual's identity and affiliations. The results also suggest that NLP methods may help scholars to perform reasonably meaningful vector operations (e. g., spiritual minus religious) that can be used to explore quickly and efficiently the syntactic and semantic patterns in a large corpus. |
|---|---|
| ISSN: | 1942-258X |
| Comprende: | Enthalten in: Journal of management, spirituality & religion
|
| Persistent identifiers: | DOI: 10.51327/TUFP3116 |