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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. © 2017 Elsevier Inc.

Registro:

Documento: Artículo
Título:The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text
Autor:Altszyler, E.; Ribeiro, S.; Sigman, M.; Fernández Slezak, D.
Filiación:Depto. de Computación, Universidad de Buenos Aires, Ciudad universitaria, CONICET, Pabellon 1C1428EGA, Argentina
Instituto do Cérebro, Universidade Federal do Rio Grande do Norte, Natal, Brazil
Universidad Torcuato Di Tella – CONICET, Argentina
Palabras clave:Dream content analysis; Latent Semantic Analysis; Word2vec; content analysis; controlled study; dream; embedding; association; dream; human; procedures; psycholinguistics; psychology; semantics; Association; Dreams; Humans; Psycholinguistics; Semantics
Año:2017
Volumen:56
Página de inicio:178
Página de fin:187
DOI: http://dx.doi.org/10.1016/j.concog.2017.09.004
Título revista:Consciousness and Cognition
Título revista abreviado:Conscious. Cogn.
ISSN:10538100
CODEN:COCOF
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10538100_v56_n_p178_Altszyler

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Citas:

---------- APA ----------
Altszyler, E., Ribeiro, S., Sigman, M. & Fernández Slezak, D. (2017) . The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text. Consciousness and Cognition, 56, 178-187.
http://dx.doi.org/10.1016/j.concog.2017.09.004
---------- CHICAGO ----------
Altszyler, E., Ribeiro, S., Sigman, M., Fernández Slezak, D. "The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text" . Consciousness and Cognition 56 (2017) : 178-187.
http://dx.doi.org/10.1016/j.concog.2017.09.004
---------- MLA ----------
Altszyler, E., Ribeiro, S., Sigman, M., Fernández Slezak, D. "The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text" . Consciousness and Cognition, vol. 56, 2017, pp. 178-187.
http://dx.doi.org/10.1016/j.concog.2017.09.004
---------- VANCOUVER ----------
Altszyler, E., Ribeiro, S., Sigman, M., Fernández Slezak, D. The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text. Conscious. Cogn. 2017;56:178-187.
http://dx.doi.org/10.1016/j.concog.2017.09.004