TY - GEN
T1 - Cluster-Based BERTopic Modeling on Swedish COVID-19 Vaccine Posts
AU - Kokkinakis, Dimitrios
AU - Hammarlin, Mia Marie
PY - 2024/8
Y1 - 2024/8
N2 - This paper explores the prevalent themes across multiple threads on the popular Swedish discussion forum Flashback. Among its diverse array of topics, the forum actively engages users in addressing and debating questions pertaining to COVID-19 vaccines and vaccination. Through distinguishing between positive and negative perspectives within posts across 14 relevant thread discussions, we employ BERTopic, a modular topic modeling framework, which utilizes pre-trained language models and applies clustering techniques to identify prevailing topics. This enables us to conduct a nuanced exploration of overarching themes, offering valuable insights into the multifaceted nature of the discussions regarding COVID-19 vaccines and vaccination in Sweden.
AB - This paper explores the prevalent themes across multiple threads on the popular Swedish discussion forum Flashback. Among its diverse array of topics, the forum actively engages users in addressing and debating questions pertaining to COVID-19 vaccines and vaccination. Through distinguishing between positive and negative perspectives within posts across 14 relevant thread discussions, we employ BERTopic, a modular topic modeling framework, which utilizes pre-trained language models and applies clustering techniques to identify prevailing topics. This enables us to conduct a nuanced exploration of overarching themes, offering valuable insights into the multifaceted nature of the discussions regarding COVID-19 vaccines and vaccination in Sweden.
KW - BERTopic
KW - Swedish dataset
KW - topic modeling
KW - vaccination
KW - vaccine
UR - https://www.scopus.com/pages/publications/85202007064
U2 - 10.3233/SHTI240805
DO - 10.3233/SHTI240805
M3 - Paper in conference proceeding
C2 - 39176864
AN - SCOPUS:85202007064
T3 - Studies in Health Technology and Informatics
SP - 1906
EP - 1910
BT - Digital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024
A2 - Mantas, John
A2 - Hasman, Arie
A2 - Demiris, George
A2 - Saranto, Kaija
A2 - Marschollek, Michael
A2 - Arvanitis, Theodoros N.
A2 - Ognjanovic, Ivana
A2 - Benis, Arriel
A2 - Gallos, Parisis
A2 - Zoulias, Emmanouil
A2 - Andrikopoulou, Elisavet
PB - IOS Press
T2 - 34th Medical Informatics Europe Conference, MIE 2024
Y2 - 25 August 2024 through 29 August 2024
ER -
