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AMiCA

AMiCA: Automatic Monitoring for Cyberspace Applications

Project information
Abstract: 

AMiCA is an IWT, SBO (Strategic Basic Research) funded pre-project with a societal valorization goal. It is a one-year project preparing a full (four-year) SBO project proposal.

The project aims to mine relevant website resources (blogs, chat rooms, and social networks), and collect, analyse, and integrate large amounts of subjective information using text and image analysis with the ultimate goal of tracing harmful content in an automatic way.

Period: 
01/10/2010 - 30/09/2011
Sponsor(s): 

IWT, Agentschap voor Innovatie door Wetenschap en Technologie

CLiPS team participated in competition on emotion detection

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

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.

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.
PDF
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.
PDF
Luyckx, K. (2011).  Text analytics and machine learning for user identification and content reliability. Presented at the 20th Annual Belgian-Dutch Conference on Machine Learning (Benelearn 2011), The Hague, The Netherlands.
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