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
2015-01-01
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.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.
