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Researcher
Steven Van Canneyt
- Disciplines:Natural language processing
Affiliations
- Department of Information technology (Department)
Member
From7 Jul 2011 → 24 Sep 2017
Projects
1 - 1 of 1
- The use of social media for analyzing and predicting the impact of events on the popularity of places, products and peopleFrom1 Jan 2013 → 26 Jun 2016Funding: IWT personal funding - specialisation scholarships
Publications
1 - 10 of 17
- Modeling and predicting the popularity of online news based on temporal and content-related features(2018)
Authors: Steven Van Canneyt, Philip Leroux, Bart Dhoedt, Thomas Demeester
Pages: 1409 - 1436 - Representation learning for very short texts using weighted word embedding aggregation(2016)
Authors: Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt
Pages: 150 - 156 - Knowledge extraction and popularity modeling using social media(2016)
Authors: Steven Van Canneyt
- Categorizing events using spatio-temporal and user features from Flickr(2016)
Authors: Steven Van Canneyt, Steven Schockaert, Bart Dhoedt
Pages: 76 - 96 - Learning representations for tweets through word embeddings(2016)
Authors: Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt
Number of pages: 1 - Topic-dependent sentiment classification on Twitter(2015)Volume: 9022
Authors: Steven Van Canneyt, N Claeys, Bart Dhoedt
Pages: 441 - 446 - Optimizing the popularity of Twitter messages through user categories(2015)
Authors: R Lemahieu, Steven Van Canneyt, Cedric De Boom, Bart Dhoedt
Pages: 1396 - 1401 - Learning semantic similarity for very short texts(2015)
Authors: Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt
Pages: 1229 - 1234 - Categorizing events using spatio-temporal and user features from Flickr(2015)
Authors: Steven Van Canneyt, S Schockaert, Bart Dhoedt
Pages: 14 - 14 - Semantics-driven event clustering in Twitter feeds(2015)Volume: 1395
Authors: Cedric De Boom, Steven Van Canneyt, Bart Dhoedt, Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie
Pages: 2 - 9