Significance of automatically detected word recurrences in dream associations

Bibliographic Data

ID3900353
AuthorsUmberto Barcaro (0000-0002-1300-3900), Rosa Calabrese, Corrado Cavallero, Roberta Diciotti, Carlo Navona
Year2002
Volume12
Issue2
Pages93-107
Publication date2002-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDreaming (JOURNAL)
Journal identifiersISSN: 1053-0797 • E-ISSN: 1573-3351
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1023/a:1015363623030
OpenAlexW2139204601
LanguageEN
Citations received3
References cited5

Verbal data files including dream reports and associations with the report items were subjected to automatic analysis aiming at the recognition of word recurrences. The research was based on the following assumptions: the associations can provide information about the dream sources; the recognition of word recurrences in text files can be a useful tool for the study of dreaming; the identification of links between different dream sources can provide an interesting insight into the phenomenon of dreaming. The principal result obtained was that word recurrences often evidence possible significant links between dream sources. A number of the possible links evidenced by the automatic analysis not only escaped the subject's notice, but might also be unexpected for an analyzer not assisted by a computer

Dream · Linguistics · Natural language processing · Psychotherapist · Word (group theory · Computer Science · Neuroscience and Music Perception · Psychology · Sleep and Wakefulness Research · Artificial Intelligence · Philosophy