Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37350, first published .
Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Journals

  1. Ahmad S, Laroche M. Extracting marketing information from product reviews: a comparative study of latent semantic analysis and probabilistic latent semantic analysis. Journal of Marketing Analytics 2023;11(4):662 View
  2. Sharma R, Bharathy G, Karimi F, Mishra A, Prasad M. Thematic Analysis of Big Data in Financial Institutions Using NLP Techniques with a Cloud Computing Perspective: A Systematic Literature Review. Information 2023;14(10):577 View
  3. Chubb L. Me and the Machines: Possibilities and Pitfalls of Using Artificial Intelligence for Qualitative Data Analysis. International Journal of Qualitative Methods 2023;22 View
  4. Skeen S, Tokarz S, Gasik R, Solano C, Smith E, Sagoe M, Hudson L, Steele K, Theall K, Clum G. A Trauma-Informed, Geospatially Aware, Just-in-Time Adaptive mHealth Intervention to Support Effective Coping Skills Among People Living With HIV in New Orleans: Development and Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2023;12:e47151 View
  5. 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
  6. Qureshi S, Judson E, Cummins C, Gadoud A, Sanders K, Doherty M. Resisting the (re-)medicalisation of dying and grief in the post-digital age: Natural language processing and qualitative analysis of data from internet support forums. Social Science & Medicine 2024;348:116517 View
  7. Prescott M, Yeager S, Ham L, Rivera C, Serrano V, Narez J, Paltin D, Delgado J, Moore D, Montoya J. Comparing the Efficacy and Efficiency of Human and GenAI Qualitative Thematic Analyses (Preprint). JMIR AI 2023 View
  8. Di Basilio D, King L, Lloyd S, Michael P, Shardlow M. Asking questions that are “close to the bone”: integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures. Frontiers in Digital Health 2024;6 View

Books/Policy Documents

  1. Vibha , Pai R, Sumith N. Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. View