Journal
INFORMATION PROCESSING & MANAGEMENT
Volume 52, Issue 1, Pages 73-92Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ipm.2015.06.003
Keywords
Affective processing; Author profiling; Emotion-labelled graphs; EmoGraph
Funding
- Autoritas Consulting SA
- Spanish Ministry of Economics under grant ECOPORTUNITY [IPT-2012-1220-430000]
- WIQ-EI IRSES project [269180]
- DIANA APPLICATIONS: Finding Hidden Knowledge in Texts: Applications project [TIN2012-38603-C02-01]
- VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems
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In this paper, we investigate the impact of emotions on author profiling, concretely identifying age and gender. Firstly, we propose the EmoGraph method for modelling the way people use the language to express themselves on the basis of an emotion-labelled graph. We apply this representation model for identifying gender and age in the Spanish partition of the PAN-AP-13 corpus, obtaining comparable results to the best performing systems of the PAN Lab of CLEF. (C) 2015 Elsevier B.V. All rights reserved.
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