Thomas Demeester
- thomas.demeester@ugent.be
- Phone
-
0470 65 14 95
- Category
-
scientific staff imec
- Research Disciplines
-
Data mining
Natural language processing
Multimedia and cross-media information systems
Entity
Faculty of Engineering and Architecture
Department of Information technology
- Address
-
Technologiepark Zwijnaarde 126
9052 Zwijnaarde - Phone
-
0470 65 14 95
- Phone Secretariat
- 09 264 33 16
Bibliography
- A self-training approach for short text clustering (2019) Amir Hadifar (UGent), Lucas Sterckx (UGent), Thomas Demeester (UGent), Chris Develder (UGent)
- Predicting suicide risk from online postings in Reddit: The UGent-IDLab submission to the CLPysch 2019 Shared Task A (2019) Semere Kiros Bitew (UGent), Ioannis Bekoulis (UGent), Johannes Deleu (UGent), Lucas Sterckx (UGent), Klim Zaporojets (UGent), Thomas Demeester (UGent), Chris Develder (UGent)
- Sub-event detection from Twitter streams as a sequence labeling problem (2019) Ioannis Bekoulis (UGent), Johannes Deleu (UGent), Thomas Demeester (UGent), Chris Develder (UGent)
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