Memorias de investigación
Ponencias en congresos:
Investigating verbal intelligence using the TF-IDF approach
Año:2012

Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ingeniería eléctrica, electrónica y automática

Datos
Descripción
In this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions of a short film and verbal intelligence scores of the speakers. For analyzing the monologues and the film transcript, the number of reused words, lemmas, n-grams, cosine similarity and other features were calculated and compared to each other for different verbal intelligence groups. The results showed that the similarity of monologues of higher verbal intelligence speakers was greater than of lower and average verbal intelligence participants. A possible explanation of this phenomenon is that candidates yielding higher verbal intelligence have a better short-term memory. In this paper we also checked a hypothesis that differences in vocabulary of speakers yielding different verbal intelligence are sufficient enough for good classification results. For proving this hypothesis, the Nearest Neighbor classifier was trained using TF-IDF vocabulary measures. The maximum achieved accuracy was 92.86%.
Internacional
Si
Nombre congreso
LREC 2012 conference
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
978-2-9517408-7-7
DOI
Fecha inicio congreso
21/05/2012
Fecha fin congreso
27/05/2012
Desde la página
1573
Hasta la página
1576
Título de las actas
LREC 2012

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Kseniya Zablotskaya Institute of Communications Engineering, University of Ulm, Germany
  • Autor: Fernando Fernandez Martinez UPM
  • 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