ArticleFrontiers in sociology2022
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts.
Article in Frontiers in sociology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 3 of them syntheses that pooled it.
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Who cites it
121 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effectiveness and strategies of social prescribing in Korea using a machine learning topic modeling.BMC health services research · 2025Pooled it
- A computational grounded theory based analysis of research on China's old-age social welfare system.Frontiers in public health · 2025Pooled it
- Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions.Frontiers in big data · 2024Pooled it
- Health-Related Rumor Debunking on Sina Weibo in China (2009-2024): 15-Year Retrospective Infodemiology Study.Journal of medical Internet research · 2026Article
- Beyond Distinction: Private Art Museums and Their Versatile Role for Elites' (Self)Legitimization Discourses.The British journal of sociology · 2026Article
- Utilizing BERTopic modeling for concept discovery in the domain of gerotranscendence and solitude.Journal of biomedical semantics · 2026Article
- Physical Activity-Related Language and Psychosocial Themes in a Psychological AI-Training Q&A Corpus: An Exploratory BERTopic Analysis.Healthcare (Basel, Switzerland) · 2026Article
- GeneInsight: Condensing gene set knowledge via language models.PLoS computational biology · 2026Article
- IdeaDistiller-AI Support for Idea Synthesis in Concept Mapping: Algorithm Development and Validation Study.JMIR medical informatics · 2026Article
- Using social media data to improve specific urban park activities: the case of park camping.Scientific reports · 2026Article
- Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning.JMIR biomedical engineering · 2026Article
- Exploring Inflation-Related Public Discourse Relevant to Social Determinants of Health Using Social Media Data.International journal of environmental research and public health · 2026Article
- Exploring Weight Loss Medication Discourse: Mixed Methods Analysis of US-Based Facebook Posts.JMIR infodemiology · 2026Article
- Shifts in dental trauma research (2000-2025): a literature-based thematic analysis using topic modeling.BMC oral health · 2026Article
- Reading the climate room through unsupervised analysis of unfiltered climate perspectives.Scientific reports · 2026Article
- Exploring Anti-Aging Literature viaArXiv · 2026Article
- Climate change and water-related diseases: a bibliometric, knowledge map, topic modeling, and content analysis.Journal of water and health · 2026Article
- Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19.Journal of medical Internet research · 2026Article
- Mental health in digital microsystems across three Asian Reddit communities.Scientific reports · 2026Article
- Media framing of agricultural technology adoption in developing countries: Evidence from Juncao technology news coverage.PloS one · 2026Article
61 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on interpreting social phenomena. However, the short, text-heavy, and unstructured nature of social media content often leads to methodological challenges in both data collection and analysis. In order to bridge the developing field of computational science and empirical social research, this study aims to evaluate the performance of four topic modeling techniques; namely latent Dirichlet allocation (LDA), non-negative matrix factorization (NMF), Top2Vec, and BERTopic. In view of the interplay between human relations and digital media, this research takes Twitter posts as the reference point and assesses the performance of different algorithms concerning their strengths and weaknesses in a social science context. Based on certain details during the analytical procedures and on quality issues, this research sheds light on the efficacy of using BERTopic and NMF to analyze Twitter data.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.