We describe the approach that we submitted to the 2015 PAN competition for the author profiling task. The task consists in predicting some attributes of an author analyzing a set of his/her Twitter tweets. We consider several sets of stylometric and content features, and different decision algorithms: we use a different combination of features and decision algorithm for each language-attribute pair, hence treating it as an individual problem.

An Author Profiling Approach Based on Language-dependent Content and Stylometric Features

BARTOLI, Alberto;DE LORENZO, ANDREA;LADERCHI, ALESSANDRA;MEDVET, Eric;TARLAO, FABIANO
2015

Abstract

We describe the approach that we submitted to the 2015 PAN competition for the author profiling task. The task consists in predicting some attributes of an author analyzing a set of his/her Twitter tweets. We consider several sets of stylometric and content features, and different decision algorithms: we use a different combination of features and decision algorithm for each language-attribute pair, hence treating it as an individual problem.
CEUR WORKSHOP PROCEEDINGS
http://ceur-ws.org/Vol-1391/
File in questo prodotto:
File Dimensione Formato  
106-CR.pdf

accesso aperto

Descrizione: pdf editoriale
Tipologia: Bozza finale post-referaggio (post-print)
Licenza: Digital Rights Management non definito
Dimensione 146.13 kB
Formato Adobe PDF
146.13 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11368/2846876
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact