daphne

DAPHNE

daphne

Description: DAPHNE

Project information

Abstract:

In this project we on the one hand propose a methodology to (semi)-automate the manual control of peer-to-peer networks and on the other hand a methodology for the automatic extraction and analysis of linguistic features (associated to age, gender and deceptive language usage) of chat language. The aim of the DAPHNE project is to develop a software prototype that will support the law enforcement agencies' control of peer-to-peer networks with regard to the illegal distribution of child pornography and will detect paedophiles in chat rooms or social networks.

Period:

01/01/2010 - 31/12/2011

CLiPS team participated in competition on emotion detection

Submitted by Kim Luyckx on Thu, 25/08/2011 - 10:21

During the summer, members of the CLiPS Computational Linguistics group participated in the 2011 Medical NLP Challenge, where we submitted results in (fine-grained) emotion detection from suicide notes.

Rankings will be revealed during the workshop in October.

Peersman, C., Daelemans W., & Van Vaerenbergh L. (2011). Predicting Age and Gender in Online Social Networks. 3rd International Workshop on Search and Mining User-generated Contents (SMUC2011).

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daphne

Luyckx, K., Vaassen F., Peersman C., & Daelemans W. (2012). Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification. Biomedical Informatics Insights (BII). 2012:5(Suppl. 1), 61-69.

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AMiCA
daphne

Luyckx, K., Vaassen F., Peersman C., & Daelemans W. (2012). Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification. Presented at the 22th Meeting of Computational Linguistics in the Netherlands (CLIN 2012), Tilburg, The Netherlands.

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AMiCA
daphne

Peersman, C., Daelemans W., & Van Vaerenbergh L. (2011). Age and Gender Prediction on Netlog Data. Presented at the 21st Meeting of Computational Linguistics in the Netherlands (CLIN21), Ghent, Belgium..

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BibTex

daphne

Peersman, C., & Daelemans W. (2011). Age and Gender Prediction on Netlog Posts. Presented at the Colloquium Series of the Language and Speech unit, Nijmegen, The Netherlands.