ArticleCureus2025
Sentiment Analysis in Healthcare: A Comparison of VADER, BERT, and Flair NLP Models on Patient Reviews of Pain Management Physicians.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Temporal Analysis of Patient-Centered Sentiment in Clinical Notes for Patients With Mental Health Conditions: Retrospective Cohort Study.Journal of medical Internet research · 2026Article
- Analysing Emotional Well-Being in Cancer Patients: A Natural Language Processing Approach to Correlating Text with Hospital Anxiety and Depression Scale Scores.Current oncology (Toronto, Ont.) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural language processing (NLP) has become an essential tool in healthcare, enabling sentiment analysis to extract insights from patient reviews, clinician notes, and medical research. This study evaluates the effectiveness of three NLP models - Bidirectional Encoder Representations from Transformers (BERT), Valence Aware Dictionary and sEntiment Reasoner (VADER), and Flair - in analyzing patient sentiment from physician reviews. A total of 1,486 reviews of 30 pain management specialists in Atlanta, GA, were collected from Healthgrades, with sentiment scores derived from each model and compared to patient-provided numerical ratings. Statistical analyses, including pairwise t-tests, Pearson correlation, and logistic regression, were conducted to assess each model's performance. Results showed significant differences among models (
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Registered trials
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.