This paper describes a methodology proposed for author profiling using natural language processing and machine learning techniques. We used lexical information in the learning process. For those languages without lexicons, we automatically translated them, in order to be able to use this information. Finally, we will discuss how we applied this methodology to the 3rd Author Profiling Task at PAN 2015 and we will present the results we obtained.
Segmenting Target Audiences: Automatic Author Profiling using Tweets: Notebook for PAN at CLEF 2015
HERNANDEZ FARIAS, DELIA IRAZU;
2015-01-01
Abstract
This paper describes a methodology proposed for author profiling using natural language processing and machine learning techniques. We used lexical information in the learning process. For those languages without lexicons, we automatically translated them, in order to be able to use this information. Finally, we will discuss how we applied this methodology to the 3rd Author Profiling Task at PAN 2015 and we will present the results we obtained.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
97-CR.pdf
Accesso riservato
Tipo di file:
PDF EDITORIALE
Dimensione
109.78 kB
Formato
Adobe PDF
|
109.78 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
