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dc.contributor.author
Altszyler Lemcovich, Edgar Jaim
dc.contributor.author
Ribeiro, Sidarta
dc.contributor.author
Sigman, Mariano
dc.contributor.author
Fernandez Slezak, Diego
dc.date.available
2018-09-19T14:59:28Z
dc.date.issued
2017-11
dc.identifier.citation
Altszyler Lemcovich, Edgar Jaim; Ribeiro, Sidarta; Sigman, Mariano; Fernandez Slezak, Diego; The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text; Elsevier; Consciousness and Cognition; 56; 11-2017; 178-187
dc.identifier.issn
1053-8100
dc.identifier.uri
http://hdl.handle.net/11336/60209
dc.description.abstract
Computer-based dreams content analysis relies on word frequencies within predefined categories in order to identify different elements in text. As a complementary approach, we explored the capabilities and limitations of word-embedding techniques to identify word usage patterns among dream reports. These tools allow us to quantify words associations in text and to identify the meaning of target words. Word-embeddings have been extensively studied in large datasets, but only a few studies analyze semantic representations in small corpora. To fill this gap, we compared Skip-gram and Latent Semantic Analysis (LSA) capabilities to extract semantic associations from dream reports. LSA showed better performance than Skip-gram in small size corpora in two tests. Furthermore, LSA captured relevant word associations in dream collection, even in cases with low-frequency words or small numbers of dreams. Word associations in dreams reports can thus be quantified by LSA, which opens new avenues for dream interpretation and decoding.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Dream Content Analysis
dc.subject
Latent Semantic Analysis
dc.subject
Word2vec
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-09-17T19:30:32Z
dc.journal.volume
56
dc.journal.pagination
178-187
dc.journal.pais
Países Bajos
dc.description.fil
Fil: Altszyler Lemcovich, Edgar Jaim. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Ribeiro, Sidarta. Universidade Federal do Rio Grande do Norte; Brasil
dc.description.fil
Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Consciousness and Cognition
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.concog.2017.09.004
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053810017301034
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