Cross domain author profiling task in spanish language: an experimental study

Author Profiling is the task of predicting characteristics of the author of a text, such as age, gender, personality, native language, etc. This is a task of growing importance due to the potential applications in security, crime detection and marketing, among others. An interesting point is to stud...

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Detalles Bibliográficos
Autores principales:	Garciarena Ucelay, María José, Villegas, María Paula, Cagnina, Leticia, Errecalde, Marcelo Luis
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2015
Materias:	Ciencias Informáticas Natural Language Processing Data mining text mining cross domain classification
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/50187 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-12.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-50187
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Natural Language Processing Data mining text mining cross domain classification
spellingShingle	Ciencias Informáticas Natural Language Processing Data mining text mining cross domain classification Garciarena Ucelay, María José Villegas, María Paula Cagnina, Leticia Errecalde, Marcelo Luis Cross domain author profiling task in spanish language: an experimental study
topic_facet	Ciencias Informáticas Natural Language Processing Data mining text mining cross domain classification
description	Author Profiling is the task of predicting characteristics of the author of a text, such as age, gender, personality, native language, etc. This is a task of growing importance due to the potential applications in security, crime detection and marketing, among others. An interesting point is to study the robustness of a classifier when it is trained with a data set and tested with others containing different characteristics. Commonly this is called cross domain experimentation. Although different cross domain studies have been done for data sets in English language, for Spanish it has recently begun. In this context, this work presents a study of cross domain classification for the author profiling task in Spanish. The experimental results showed that using corpora with different levels of formality we can obtain robust classifiers for the author profiling task in Spanish language.
format	Articulo Articulo
author	Garciarena Ucelay, María José Villegas, María Paula Cagnina, Leticia Errecalde, Marcelo Luis
author_facet	Garciarena Ucelay, María José Villegas, María Paula Cagnina, Leticia Errecalde, Marcelo Luis
author_sort	Garciarena Ucelay, María José
title	Cross domain author profiling task in spanish language: an experimental study
title_short	Cross domain author profiling task in spanish language: an experimental study
title_full	Cross domain author profiling task in spanish language: an experimental study
title_fullStr	Cross domain author profiling task in spanish language: an experimental study
title_full_unstemmed	Cross domain author profiling task in spanish language: an experimental study
title_sort	cross domain author profiling task in spanish language: an experimental study
publishDate	2015
url	http://sedici.unlp.edu.ar/handle/10915/50187 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-12.pdf
work_keys_str_mv	AT garciarenaucelaymariajose crossdomainauthorprofilingtaskinspanishlanguageanexperimentalstudy AT villegasmariapaula crossdomainauthorprofilingtaskinspanishlanguageanexperimentalstudy AT cagninaleticia crossdomainauthorprofilingtaskinspanishlanguageanexperimentalstudy AT errecaldemarceloluis crossdomainauthorprofilingtaskinspanishlanguageanexperimentalstudy
bdutipo_str	Repositorios
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Cross domain author profiling task in spanish language: an experimental study

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