Memorias de investigación
Ponencias en congresos:
DAEDALUS at PAN 2014: Guessing Tweet Author's Gender and Age
Año:2014
Áreas de investigación
  • Informática,
  • Lingüística computacional
Datos
Descripción
This paper describes our participation at PAN 2014 author profiling task. Our idea was to define, develop and evaluate a simple machine learning classifier able to guess the gender and the age of a given user based on his/her texts, which could become part of the solution portfolio of the company. We were interested in finding not the best possible classifier that achieves the highest accuracy, but to find the optimum balance between performance and throughput using the most simple strategy and less dependent of external systems. Results show that our software using Naive Bayes Multinomial with a term vector model representation of the text is ranked quite well among the rest of participants in terms of accuracy.
Internacional
Si
Nombre congreso
CLEF 2014 Conference
Tipo de participación
960
Lugar del congreso
Sheffield, UK
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
15/09/2014
Fecha fin congreso
18/09/2014
Desde la página
1157
Hasta la página
1163
Título de las actas
Working Notes for CLEF 2014 Conference
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos