Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (753kB) | Preview |
Characterising social media users by gender and place of residence
Citation
Muñoz García, Oscar and Lanchas Sampablo, Jesús and Prieto Ruiz, David (2013). Characterising social media users by gender and place of residence. "Revista de Procesamiento de Lenguaje Natural", v. 51 ; pp. 57-64. ISSN 1135-5948.
Description
| Title: | Characterising social media users by gender and place of residence |
|---|---|
| Author/s: |
|
| Item Type: | Article |
| Título de Revista/Publicación: | Revista de Procesamiento de Lenguaje Natural |
| Date: | 2013 |
| ISSN: | 1135-5948 |
| Volume: | 51 |
| Subjects: | |
| Freetext Keywords: | Demographics; Genre; Pace of residence; Social media analysis; Users |
| Faculty: | Facultad de Informática (UPM) |
| Department: | Inteligencia Artificial |
| UPM's Research Group: | Ontology Engineering Group OEG |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Characterising users through demographic attributes is a necessary step before conducting opinion surveys from information published by such users in social media. In this paper, we describe, compare and evaluate different techniques for the identification of the attributes "gender"' and "place of residence" by mining the metadata associated to the users, the content published and shared by themselves, and their friendship networks. The results obtained show that the social network is a valuable source of information for obtaining the sociodemographic attributes of single users.
More information
| Item ID: | 38076 |
|---|---|
| DC Identifier: | https://oa.upm.es/38076/ |
| OAI Identifier: | oai:oa.upm.es:38076 |
| Official URL: | http://journal.sepln.org/sepln/ojs/ojs/index.php/p... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 04 Feb 2016 13:56 |
| Last Modified: | 04 Feb 2016 13:56 |
