Mapping dreams in a computational space: A phrase-level model for analyzing Fight/Flight and other typical situations in dream reports.
Dreams
Fight/Flight
Flying/Falling
Natural Language Processing (NLP)
Network analysis
Pattern quantification
Representation learning
Semantic structure
Typical situation
Journal
Consciousness and cognition
ISSN: 1090-2376
Titre abrégé: Conscious Cogn
Pays: United States
ID NLM: 9303140
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
received:
10
03
2022
revised:
27
09
2022
accepted:
11
10
2022
pubmed:
8
11
2022
medline:
29
11
2022
entrez:
7
11
2022
Statut:
ppublish
Résumé
This article demonstrates that an automated system of linguistic analysis can be developed - the Oneirograph - to analyze large collections of dreams and computationally map their contents in terms of typical situations involving an interplay of characters, activities, and settings. Focusing the analysis first on the twin situations of fighting and fleeing, the results provide densely detailed empirical evidence of the underlying semantic structures of typical dreams. The results also indicate that the Oneirograph analytic system can be applied to other typical dream situations as well (e.g., flying, falling), each of which can be computationally mapped in terms of a distinctive constellation of characters, activities, and settings.
Identifiants
pubmed: 36341867
pii: S1053-8100(22)00160-X
doi: 10.1016/j.concog.2022.103428
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
103428Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. [Dr. Maja Gutman Music, Department of Anthropology, University of California, Los Angeles / Institute for Philosophical Studies, Science and Research Center, Koper. Pavan Holur, Department of Electrical and Computer Engineering, University of California, Los Angeles. Kelly Bulkeley, Ph.D., Sleep and Dream Database.]