This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3227) Mobile Health (mhealth) (3461) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (418) Mobile Health in Psychiatry (527) Depression and Mood Disorders; Suicide Prevention (1687) Users' and Patients' Needs for Mental Health Services (502)

Published on in Vol 5, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17062, first published .
User Reviews of Depression App Features: Sentiment Analysis

User Reviews of Depression App Features: Sentiment Analysis

User Reviews of Depression App Features: Sentiment Analysis

Authors of this article:

Julien Meyer1 Author Orcid Image ;   Senanu Okuboyejo2 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Ciolfi Felice M, Søndergaard M, Balaam M. Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e47131 View
  2. Darko A, Antwi C, Adjei K, Zhang B, Ren J. Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data. Expert Systems with Applications 2024;249:123647 View
  3. Hossain M. Emotional drivers of sustainable AI adoption: A sentiment analysis of early user feedback on the deepSeek app. Sustainable Futures 2025;10:100947 View

Books/Policy Documents

  1. Ozolcer M, Yang Y, Kate S, Samant P, Bae S. The Proceedings of the 2024 Conference on Systems Engineering Research. View

Conference Proceedings

  1. Nurfikri A. The 5th International Conference on Vocational Education Applied Science and Technology 2022. Sentiment Analysis Telemedicine Apps Reviews Using NVIVO View
  2. B K A, Abraham S, Narayanan N. 2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST). Instagram Threads: A Study on the User's Perspective of the App View
  3. Widianto M, Fauzi R, Fa'Rifah R. 2025 International Conference on Data Science and Its Applications (ICoDSA). Analyzing Technostress in Pregnancy Applications through User Sentiment: A Case Study in the Indonesian Digital Health Ecosystem View