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Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database

Document type: Objeto de conferencia

Abstract

This summary presents the results obtained in our work, Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database.

General information

Exposure date: septiembre 2017
Issue date: 2017
Document language: English
Event: XVIII Simposio Argentino de Inteligencia Artificial (ASAI) - JAIIO 46 (Córdoba, 2017).
Origin: Sociedad Argentina de Informática e Investigación Operativa
ISSN: 2451-7585
xmlui.dri2xhtml.METS-1.0.item-dc-subject: semantic tests
Subjects: Ciencias Informáticas
 
Created: 3 de abril de 2018
Available since: 3 de abril de 2018
Please, use one of this identificators(URI) for cite o linking this item:
  • http://sedici.unlp.edu.ar/handle/10915/65940

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    Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)