ArticleJournal of medical Internet research2022
Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Patient experience and psychologists' attitudes toward AI in psychological treatment: A topic-modeling study.Internet interventions · 2026Article
- Roles of Self-Stigma and Meaning in the Relationship Between Age and Loneliness: A Perspective From Gerotranscendence.PsyCh journal · 2026Article
- Understanding research priorities in home health care: a topic modeling analysis of the health services literature.BMC health services research · 2026Article
- TikTok is a valuable data source for tracking the opioid crisis.NPJ digital medicine · 2026Article
- Evaluating Turkish society's approaches to hemorrhoid treatment using text mining and sentiment analysis methods.Frontiers in surgery · 2026Article
- Mapping the landscape of psychological literature on threat from 1961 to 2023 through structural topic modeling.PloS one · 2026Article
- A comparative study on the credibility of ischemic stroke treatment information on social media platforms: evidence from Weibo and REDnote.Frontiers in digital health · 2026Article
- When "Self-Harm" Means "Suicide": A Topic Modeling Study of Adolescent Online Help-Seeking for Self-Harm.Suicide & life-threatening behavior · 2025Article
- CENTRA: knowledge-based gene contextuality graphs reveal functional master regulators by centrality and fractality.NAR genomics and bioinformatics · 2025Article
- Patient Perspectives on Open-Door Policies in Psychiatry: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Consistency Analysis of Practice Orientation of the Healthy Enterprise Program in China.BMC public health · 2025Article
- Using natural language processing to explore differences in healthcare professionals' language on Functional Neurological Disorder: a comparative topic and sentiment analysis study.Frontiers in digital health · 2025Article
- Research on interdisciplinary measurement and evolutionary path in the field of ophthalmology.Frontiers in ophthalmology · 2025Article
- Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining approach to online health communities.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- The global patent landscape of artificial intelligence applications for cancer.Nature biotechnology · 2023Article
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9 authors.
Funding
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Abstract
backgroundTopic modeling approaches allow researchers to analyze and represent written texts. One of the commonly used approaches in psychology is latent Dirichlet allocation (LDA), which is used for rapidly synthesizing patterns of text within "big data," but outputs can be sensitive to decisions made during the analytic pipeline and may not be suitable for certain scenarios such as short texts, and we highlight resources for alternative approaches. This review focuses on the complex analytical practices specific to LDA, which existing practical guides for training LDA models have not addressed.
objectiveThis scoping review used key analytical steps (data selection, data preprocessing, and data analysis) as a framework to understand the methodological approaches being used in psychology research using LDA.
methodsA total of 4 psychology and health databases were searched. Studies were included if they used LDA to analyze written words and focused on a psychological construct or issue. The data charting processes were constructed and employed based on common data selection, preprocessing, and data analysis steps.
resultsA total of 68 studies were included. These studies explored a range of research areas and mostly sourced their data from social media platforms. Although some studies reported on preprocessing and data analysis steps taken, most studies did not provide sufficient detail for reproducibility. Furthermore, the debate surrounding the necessity of certain preprocessing and data analysis steps is revealed.
conclusionsOur findings highlight the growing use of LDA in psychological science. However, there is a need to improve analytical reporting standards and identify comprehensive and evidence-based best practice recommendations. To work toward this, we developed an LDA Preferred Reporting Checklist that will allow for consistent documentation of LDA analytic decisions and reproducible research outcomes.
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