Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Text categorization methods for automatic estimation of verbal intelligence
Year:2012
Research Areas
  • Electronic technology and of the communications,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
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.
International
Si
JCR
Si
Title
Expert Systems With Applications
ISBN
0957-4174
Impact factor JCR
2,203
Impact info
Volume
39
Journal number
10
From page
9807
To page
9820
Month
SIN MES
Ranking
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 22/111 ENGINEERING, ELECTRICAL & ELECTRONIC 41/245 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 5/77
Participants
  • 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)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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