Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache

Autor: Nicolas Vandenbussche, Cynthia Van Hee, Véronique Hoste, Koen Paemeleire

Publikováno v: The Journal of Headache and Pain, Vol 23, Iss 1, Pp 1-12 (2022)

Abstract Background Headache medicine is largely based on detailed history taking by physicians analysing patients’ descriptions of headache. Natural language processing (NLP) structures and processes linguistic data into quantifiable units. In thi

Externí odkaz: https://doaj.org/article/3d2a67aad32249eea0c76224565c82fe

Automatic detection of cyberbullying in social media text.

Autor: Cynthia Van Hee, Gilles Jacobs, Chris Emmery, Bart Desmet, Els Lefever, Ben Verhoeven, Guy De Pauw, Walter Daelemans, Véronique Hoste

Publikováno v: PLoS ONE, Vol 13, Iss 10, p e0203794 (2018)

While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online. Recent studies report that cyberbullying constitutes a growing problem among youngsters. Successful pre

Externí odkaz: https://doaj.org/article/9bd468aac1804ec9a9072c837072cc29

Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?

Autor: Cynthia Van Hee, Gilles Jacobs, Veronique Hoste

Publikováno v: Natural Language Engineering. 28:141-166

Successful prevention of cyberbullying depends on the adequate detection of harmful messages. Given the impossibility of human moderation on the Social Web, intelligent systems are required to identify clues of cyberbullying automatically. Much work

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4975c9fb9d638cbf0212e324616b1d1c
https://doi.org/10.1017/s135132492000056x

Exploring implicit sentiment evoked by fine-grained news events

Autor: Cynthia Van Hee, Orphée De Clercq, Veronique Hoste

Publikováno v: Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (EACL 2021)
Ghent University Academic Bibliography

We investigate the feasibility of defining sentiment evoked by fine-grained news events. Our research question is based on the premise that methods for detecting implicit sentiment in news can be a key driver of content diversity, which is one way to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c40c812ea251e0f4fbbca7d5c29936e8
https://hdl.handle.net/1854/LU-8704637

News diversity and recommendation systems : setting the interdisciplinary scene

Autor: Glen Joris, Stefaan Vercoutere, Cynthia Van Hee, Eva Lievens, Orphée De Clercq, Veronique Hoste, Lieven De Marez, Luc Martens, Toon De Pessemier, Frederik De Grove, Kristin Van Damme, Camiel Colruyt, Judith Vermeulen

Publikováno v: Privacy and identity management : data for better living : AI and privacy
IFIP Advances in Information and Communication Technology
14th IFIP International Summer School on Privacy and Identity Management (Privacy and Identity)
14th IFIP International Summer School on Privacy and Identity Management (Privacy and Identity), Aug 2019, Windisch, Switzerland. pp.90-105, ⟨10.1007/978-3-030-42504-3_7⟩
Privacy and Identity Management. Data for Better Living: AI and Privacy ISBN: 9783030425036
Privacy and Identity Management

Part 2: Workshop and Tutorial Papers; International audience; Concerns about selective exposure and filter bubbles in the digital news environment trigger questions regarding how news recommender systems can become more citizen-oriented and facilitat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ea776648fd1a0d66654646488652929
https://hdl.handle.net/1854/LU-8625324