Published on in Vol 20, No 6 (2018): June

Preprints (earlier versions) of this paper are available at, first published .
Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study

Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study

Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study


  1. Ferrario A, Demiray B, Yordanova K, Luo M, Martin M. Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning. Journal of Medical Internet Research 2020;22(9):e19133 View
  2. Andreotta M, Nugroho R, Hurlstone M, Boschetti F, Farrell S, Walker I, Paris C. Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis. Behavior Research Methods 2019;51(4):1766 View
  3. Timimi F, Ray S, Jones E, Aase L, Hoffman K. Patient-Reported Outcomes in Online Communications on Statins, Memory, and Cognition: Qualitative Analysis Using Online Communities. Journal of Medical Internet Research 2019;21(11):e14809 View
  4. Badal V, Graham S, Depp C, Shinkawa K, Yamada Y, Palinkas L, Kim H, Jeste D, Lee E. Prediction of Loneliness in Older Adults Using Natural Language Processing: Exploring Sex Differences in Speech. The American Journal of Geriatric Psychiatry 2021;29(8):853 View
  5. Le G, Radcliffe K, Lyles C, Lyson H, Wallace B, Sawaya G, Pasick R, Centola D, Sarkar U, Gruebner O. Perceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies. PLOS ONE 2019;14(2):e0211931 View
  6. McIlvennan C, Morris M, Guetterman T, Matlock D, Curry L. Qualitative Methodology in Cardiovascular Outcomes Research. Circulation: Cardiovascular Quality and Outcomes 2019;12(9) View
  7. Lin F, Huang S, Shang R, Wang C, Hsiao F, Lin F, Lin M, Hung K, Wang J, Shen L, Lai F, Huang C. A Web-Based Clinical System for Cohort Surveillance of Specific Clinical Effectiveness and Safety Outcomes: A Cohort Study of Non–Vitamin K Antagonist Oral Anticoagulants and Warfarin. JMIR Medical Informatics 2019;7(3):e13329 View
  8. Xu R, Baghaei Lakeh A, Ghaffarzadegan N. Examining the characteristics of impactful research topics: A case of three decades of HIV-AIDS research. Journal of Informetrics 2021;15(1):101122 View
  9. Sai Prashanthi G, Deva A, Vadapalli R, Das A. Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study. JMIR Formative Research 2020;4(12):e24490 View
  10. Meppelink C, Hendriks H, Trilling D, van Weert J, Shao A, Smit E. Reliable or not? An automated classification of webpages about early childhood vaccination using supervised machine learning. Patient Education and Counseling 2021;104(6):1460 View
  11. Davidson J, Ye G, Parra M, Choflet A, Lee K, Barnes A, Harkavy-Friedman J, Zisook S. Job-Related Problems Prior to Nurse Suicide, 2003-2017: A Mixed Methods Analysis Using Natural Language Processing and Thematic Analysis. Journal of Nursing Regulation 2021;12(1):28 View
  12. Mezuk B, Kalesnikava V, Kim J, Ko T, Collins C, Idler E. Not discussed: Inequalities in narrative text data for suicide deaths in the National Violent Death Reporting System. PLOS ONE 2021;16(7):e0254417 View
  13. Shikama Y, Chiba Y, Yasuda M, Stanyon M, Otani K. The use of text mining to detect key shifts in Japanese first-year medical student professional identity formation through early exposure to non-healthcare hospital staff. BMC Medical Education 2021;21(1) View
  14. Gerber S, O’Hearn M, Cruz S, Reedy J, Mozaffarian D. Changes in Food Security, Healthfulness, and Access During the Coronavirus Disease 2019 Pandemic: Results From a National United States Survey. Current Developments in Nutrition 2023;7(3):100060 View
  15. Zheng Z, Sieber R. Putting humans back in the loop of machine learning in Canadian smart cities. Transactions in GIS 2022;26(1):8 View
  16. Sancho Escrivá J, Fanjul Peyró C, De la Iglesia Vayá M, Montell J, Escartí Fabra M. Aplicación de la Inteligencia Artificial con Procesamiento del Lenguaje Natural para textos de investigación cualitativa en la relación médico-paciente con enfermedad mental mediante el uso de tecnologías móviles. Revista de Comunicación y Salud 2020;10(1):19 View
  17. Tounsi A, Temimi M. A systematic review of natural language processing applications for hydrometeorological hazards assessment. Natural Hazards 2023;116(3):2819 View
  18. Nagatani Y, Imafuku R, Nakai Y. Broadening the Dental Hygiene Students’ Perspectives on the Oral Health Professionals: A Text Mining Analysis. Dentistry Journal 2022;10(9):160 View
  19. Yeung R, Stastna M, Fernandes M. Understanding autobiographical memory content using computational text analysis. Memory 2022;30(10):1267 View
  20. Lauer C, Brumberger E, Beveridge A. Hand Collecting and Coding Versus Data-Driven Methods in Technical and Professional Communication Research. IEEE Transactions on Professional Communication 2018;61(4):389 View
  21. Lennon R, Fraleigh R, Van Scoy L, Keshaviah A, Hu X, Snyder B, Miller E, Calo W, Zgierska A, Griffin C. Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis. Family Medicine and Community Health 2021;9(Suppl 1):e001287 View
  22. Inoue M, Fukahori H, Matsubara M, Yoshinaga N, Tohira H. Latent Dirichlet allocation topic modeling of free‐text responses exploring the negative impact of the early COVID‐19 pandemic on research in nursing. Japan Journal of Nursing Science 2023;20(2) View
  23. Huang Z, Tay E, Wee D, Guo H, Lim H, Chow A. Public Perception of the Use of Digital Contact-Tracing Tools After the COVID-19 Lockdown: Sentiment Analysis and Opinion Mining. JMIR Formative Research 2022;6(3):e33314 View
  24. Gratz O, Vos D, Burke M, Soares N. Assessment of Agreement Between Human Ratings and Lexicon-Based Sentiment Ratings of Open-Ended Responses on a Behavioral Rating Scale. Assessment 2022;29(5):1075 View
  25. Khanbhai M, Warren L, Symons J, Flott K, Harrison-White S, Manton D, Darzi A, Mayer E. Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care. International Journal of Medical Informatics 2022;157:104642 View
  26. Reinhold A, Raile E, Izurieta C, McEvoy J, King H, Poole G, Ready R, Bergmann N, Shanahan E. Persuasion with Precision: Using Natural Language Processing to Improve Instrument Fidelity for Risk Communication Experimental Treatments. Journal of Mixed Methods Research 2023;17(4):373 View
  27. Sripathi K, Moscarella R, Steele M, Yoho R, You H, Prevost L, Urban-Lurain M, Merrill J, Haudek K. Machine Learning Mixed Methods Text Analysis: An Illustration From Automated Scoring Models of Student Writing in Biology Education. Journal of Mixed Methods Research 2024;18(1):48 View
  28. Skeen S, Jones S, Cruse C, Horvath K. Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis. JMIR Human Factors 2022;9(3):e37350 View
  29. Husiev O, Ukar Arrien O, Enciso-Santocildes M. What does Horizon 2020 contribute to? Analysing and visualising the community practices of Europe's largest research and innovation programme. Energy Research & Social Science 2023;95:102879 View
  30. Barnes A, Ye G, Ayers C, Choflet A, Lee K, Zisook S, Davidson J. Entangled: A mixed method analysis of nurses with mental health problems who die by suicide. Nursing Inquiry 2023;30(2) View
  31. Fu X, Li C, Zhai W. Using Natural Language Processing to Read Plans. Journal of the American Planning Association 2023;89(1):107 View
  32. Smuts H, Van der Merwe A. Knowledge Management in Society 5.0: A Sustainability Perspective. Sustainability 2022;14(11):6878 View
  33. Smith I, Youssef G, Shatte A, Teague S, Knight T, Macdonald J. “You are not alone”: A big data and qualitative analysis of men's unintended fatherhood. SSM - Qualitative Research in Health 2022;2:100085 View
  34. Millagaha Gedara N, Xu X, DeLong R, Aryal S, Jaberi-Douraki M. Global Trends in Cancer Nanotechnology: A Qualitative Scientific Mapping Using Content-Based and Bibliometric Features for Machine Learning Text Classification. Cancers 2021;13(17):4417 View
  35. Mohamad Sham N, Mohamed A. Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches. Sustainability 2022;14(8):4723 View
  36. Yew A, Schraagen M, Otte W, van Diessen E. Transforming epilepsy research: A systematic review on natural language processing applications. Epilepsia 2023;64(2):292 View
  37. Xu R, Divito J, Bannor R, Schroeder M, Pagoto S. Predicting Participant Engagement in a Social Media–Delivered Lifestyle Intervention Using Microlevel Conversational Data: Secondary Analysis of Data From a Pilot Randomized Controlled Trial. JMIR Formative Research 2022;6(7):e38068 View
  38. Zhu Y, Kan H, Li L. Analysis of Public Big Data Management under Text Analysis. Mathematical Problems in Engineering 2022;2022:1 View
  39. García-Méndez S, de Arriba-Pérez F, Barros-Vila A, González-Castaño F, Costa-Montenegro E. Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation. Applied Intelligence 2023;53(16):19610 View
  40. Bernal Marcos M, Zittoun T, Gillespie A. Diaries as Technologies for Sense-making and Self-transformation in Times of Vulnerability. Integrative Psychological and Behavioral Science 2024;58(2):563 View
  41. Tombe R, Smuts H. Agricultural Social Networks: An Agricultural Value Chain-Based Digitalization Framework for an Inclusive Digital Economy. Applied Sciences 2023;13(11):6382 View
  42. Yardley L, Denford S, Kamal A, May T, Kesten J, French C, Weston D, Rubin G, Horwood J, Hickman M, Amlôt R, Oliver I. The Agile Co-production and Evaluation framework for developing public health interventions, messaging and guidance. Frontiers in Public Health 2023;11 View
  43. Molina R, Enriquez M. Enhancing Diabetes Health Outcomes Among Haitian Migrants Living in Dominican Bateyes. The Science of Diabetes Self-Management and Care 2023;49(4):281 View
  44. Zhang J, Xu W, Lei C, Pu Y, Zhang Y, Zhang J, Yu H, Su X, Huang Y, Gong R, Zhang L, Shi Q. Using Clinician-Patient WeChat Group Communication Data to Identify Symptom Burdens in Patients With Uterine Fibroids Under Focused Ultrasound Ablation Surgery Treatment: Qualitative Study. JMIR Formative Research 2023;7:e43995 View
  45. Chafjiri F, Reece L, Voke L, Landschaft A, Clark J, Kimia A, Loddenkemper T. Natural language processing for identification of refractory status epilepticus in children. Epilepsia 2023;64(12):3227 View
  46. Shi J, Bendig D, Vollmar H, Rasche P. Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study. Journal of Medical Internet Research 2023;25:e45815 View
  47. Towler L, Bondaronek P, Papakonstantinou T, Amlôt R, Chadborn T, Ainsworth B, Yardley L. Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques. Frontiers in Public Health 2023;11 View
  48. 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
  49. Bondaronek P, Papakonstantinou T, Stefanidou C, Chadborn T. User feedback on the NHS test & Trace Service during COVID-19: The use of machine learning to analyse free-text data from 37,914 England adults. Public Health in Practice 2023;6:100401 View
  50. Molina R, Olmedo Y. Perceptions of COVID-19 Among Unvaccinated Hispanics. Hispanic Health Care International 2024;22(1):3 View
  51. Schirmer M, Pfeffer J, Hilbert S. Talking About Torture: A Novel Approach to the Mixed Methods Analysis of Genocide-Related Witness Statements in the Khmer Rouge Tribunal. Journal of Mixed Methods Research 2023 View
  52. Trinkley K, An R, Maw A, Glasgow R, Brownson R. Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions. Implementation Science 2024;19(1) View
  53. Mejeh M, Rehm M. Taking adaptive learning in educational settings to the next level: leveraging natural language processing for improved personalization. Educational technology research and development 2024 View
  54. Unathi Juliet Nkalane , Bulelwa Makena , Ntando Elliot Mpahla . STUDENTS’ PERSPECTIVES OF QUALITY EDUCATION AT A SELECTED SOUTH AFRICAN UNIVERSITY. International Journal of Innovative Technologies in Social Science 2024;(1(41)) View
  55. Misiejuk K, Kaliisa R, Scianna J. Augmenting assessment with AI coding of online student discourse: A question of reliability. Computers and Education: Artificial Intelligence 2024;6:100216 View
  56. Zhong C, Liu H, Kam H. Mining Reddit users’ perspectives on cybersecurity competitions: a mixed method approach. Information & Computer Security 2024 View
  57. Hald E, Gillespie A, Reader T. Problems in Dealing with Problems: How Breakdowns in Corrective Culture Lead to Institutional Failure. British Journal of Management 2024 View
  58. Duncan A, Henry M, Lamont K, Chima S. Combining sentiment analysis and text mining with content analysis of farm vet interviews on mental wellbeing in livestock practice. PLOS ONE 2024;19(5):e0304090 View
  59. Reinhold A, Munro M, Shanahan E, Gore R, Ezell B, Izurieta C. Embedding Software Engineering in Mixed Methods Research: Computationally Enhanced Risk Communication. International Journal of Multiple Research Approaches 2023;15(2):67 View
  60. Becker C, Conduit R, Chouinard P, Laycock R. Can deepfakes be used to study emotion perception? A comparison of dynamic face stimuli. Behavior Research Methods 2024 View
  61. 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

Books/Policy Documents

  1. Guetterman T. International Encyclopedia of Education(Fourth Edition). View
  2. Powell J, Guo Y, Sarker A, McKay J. Artificial Intelligence in Medicine. View
  3. Xiuqing D, Rafiq M, Zhumin W. Exploring the Intersection of AI and Human Resources Management. View