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

Formative Evaluation of Digital Health Interventions (2410) Mobile Health (mhealth) (2939) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (374) Mobile Health in Psychiatry (426) Depression and Mood Disorders; Suicide Prevention (1363) Users' and Patients' Needs for Mental Health Services (403)

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 (5) 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

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