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Memorias de investigación
Artículos en revistas:
Text categorization methods for automatic estimation of verbal intelligence
Año:2012
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
In this paper we investigate whether conventional text categorisation methods may suffice to infer different verbal intelligence levels. This research goal relies on the hypothesis that the vocabulary that speakers make use of reflects their verbal intelligence levels. Automatic verbal intelligence estimation of users in a Spoken Language Dialogue System may be useful when defining an optimal dialogue strategy by improving its adaptation capabilities. The work is based on a corpus containing descriptions (i.e. monologues) of a short film by test persons yielding different educational backgrounds and the verbal intelligence scores of the speakers. First, a one-way analysis of variance was performed to compare the monologues with the film transcription and to demonstrate that there are differences in the vocabulary used by the test persons yielding different verbal intelligence levels. Then, for the classification task, the monologues were represented as feature vectors using the classical TF-IDF weighting scheme. The Naive Bayes, k-nearest neighbours and Rocchio classifiers were tested. In this paper we describe and compare these classification approaches, define the optimal classification parameters and discuss the classification results obtained.
Internacional
Si
JCR del ISI
Si
Título de la revista
Expert Systems With Applications
ISSN
0957-4174
Factor de impacto JCR
2,203
Información de impacto
Volumen
39
DOI
Número de revista
10
Desde la página
9807
Hasta la página
9820
Mes
SIN MES
Ranking
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 22/111 ENGINEERING, ELECTRICAL & ELECTRONIC 41/245 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 5/77
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Fernando Fernandez Martinez (UPM)
  • Autor: Kseniya Zablotskaya (Institute of Communications Engineering, University of Ulm, Germany)
  • Autor: Wolfgang Minker (Institute of Communications Engineering, University of Ulm, Germany)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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