ArticlePerspectives on behavior science2024
Lexicon-Based Sentiment Analysis in Behavioral Research.
Article in Perspectives on behavior science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Childhood traumatic experiences and postpartum depression: a mixed methods narrative study.Archives of women's mental health · 2026Article
- Computational text analysis of emotional expressions related to non-suicidal self-injury in Chinese social media.Scientific reports · 2026Article
- Comparative sentiment and thematic analysis of depression-related discourse between healthcare professionals and non-healthcare individuals on Chinese social media: a computational text analysis study.Frontiers in psychology · 2026Article
- Using AI-Based Virtual Simulated Patients for Training in Psychopathological Interviewing: Cross-Sectional Observational Study.JMIR medical education · 2025Observational
- Hypertension Experiences Affecting Recovery from Delivery (HEARD): a mixed-methods interview study of postpartum people affected by hypertensive disorders of pregnancy.BMC pregnancy and childbirth · 2025Article
- Public Attitudes Toward Violence Against Doctors: Sentiment Analysis of Chinese Users.JMIR medical informatics · 2025Article
- Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice.Scientific reports · 2025Article
- Sentiment analysis of cancer screening in Chinese social media: Qualitative studies based on machine learning.PloS one · 2025Article
- #ExploratoryAnalysisOfSentimentTowardABAonTwitter.Behavior analysis in practice · 2024Article
- The emotions of Chinese netizens toward the opening-up policies for COVID-19: panic, trust, and acceptance.Frontiers in public health · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A complete science of human behavior requires a comprehensive account of the verbal behavior those humans exhibit. Existing behavioral theories of such verbal behavior have produced compelling insight into language's underlying function, but the expansive program of research those theories deserve has unfortunately been slow to develop. We argue that the status quo's manually implemented and study-specific coding systems are too resource intensive to be worthwhile for most behavior analysts. These high input costs in turn discourage research on verbal behavior overall. We propose lexicon-based sentiment analysis as a more modern and efficient approach to the study of human verbal products, especially naturally occurring ones (e.g., psychotherapy transcripts, social media posts). In the present discussion, we introduce the reader to principles of sentiment analysis, highlighting its usefulness as a behavior analytic tool for the study of verbal behavior. We conclude with an outline of approaches for handling some of the more complex forms of speech, like negation, sarcasm, and speculation. The appendix also provides a worked example of how sentiment analysis could be applied to existing questions in behavior analysis, complete with code that readers can incorporate into their own work.
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