Cluster-Based BERTopic Modeling on Swedish COVID-19 Vaccine Posts.

Kokkinakis D, Hammarlin M

Stud Health Technol Inform 316 (-) 1906-1910 [2024-08-22; online 2024-08-23]

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.

Category: Social Science & Humanities

Category: Vaccines

PubMed 39176864

DOI 10.3233/SHTI240805

Crossref 10.3233/SHTI240805

pii: SHTI240805


Publications 9.5.1