1 resultado para classification task
em Repositório Científico da Universidade de Évora - Portugal
Filtro por publicador
- JISC Information Environment Repository (1)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (24)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (16)
- Aston University Research Archive (8)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (5)
- Boston University Digital Common (21)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (131)
- CentAUR: Central Archive University of Reading - UK (8)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (74)
- Cochin University of Science & Technology (CUSAT), India (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (21)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (6)
- Digital Commons at Florida International University (1)
- Digital Peer Publishing (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (12)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (5)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (2)
- Greenwich Academic Literature Archive - UK (6)
- Helda - Digital Repository of University of Helsinki (18)
- Indian Institute of Science - Bangalore - Índia (115)
- Massachusetts Institute of Technology (8)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (3)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (14)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (111)
- Queensland University of Technology - ePrints Archive (285)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositorio Institucional de la Universidad Pública de Navarra - Espanha (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (9)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (9)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (4)
- Université de Montréal, Canada (1)
- Université Laval Mémoires et thèses électroniques (1)
- University of Queensland eSpace - Australia (2)
Resumo:
This paper presents our approach of identifying the profile of an unknown user based on the activities of known users. The aim of author profiling task of PAN@CLEF 2016 is cross-genre identification of the gender and age of an unknown user. This means training the system using the behavior of different users from one social media platform and identifying the profile of other user on some different platform. Instead of using single classifier to build the system we used a combination of different classifiers, also known as stacking. This approach allowed us explore the strength of all the classifiers and minimize the bias or error enforced by a single classifier.