Published on in Vol 8 , No 1 (2020) :January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16023, first published .
Sentiment Analysis in Health and Well-Being: Systematic Review

Sentiment Analysis in Health and Well-Being: Systematic Review

Sentiment Analysis in Health and Well-Being: Systematic Review

Journals

  1. Hashimoto D, Ward T, Meireles O. The Role of Artificial Intelligence in Surgery. Advances in Surgery 2020;54:89 View
  2. Harb J, Ebeling R, Becker K. A framework to analyze the emotional reactions to mass violent events on Twitter and influential factors. Information Processing & Management 2020;57(6):102372 View
  3. He L, Yin T, Hu Z, Chen Y, Hanauer D, Zheng K. Developing a standardized protocol for computational sentiment analysis research using health-related social media data. Journal of the American Medical Informatics Association 2021;28(6):1125 View
  4. Espinosa C, Becker M, Marić I, Wong R, Shaw G, Gaudilliere B, Aghaeepour N, Stevenson D, Stelzer I, Peterson L, Chang A, Xenochristou M, Phongpreecha T, De Francesco D, Katz M, Blumenfeld Y, Angst M. Data-Driven Modeling of Pregnancy-Related Complications. Trends in Molecular Medicine 2021;27(8):762 View
  5. Budimir S, Kuska M, Spiliopoulou M, Schlee W, Pryss R, Andersson G, Goedhart H, Harrison S, Vesala M, Hegde G, Langguth B, Pieh C, Probst T. Reasons for Discontinuing Active Participation on the Internet Forum Tinnitus Talk: Mixed Methods Citizen Science Study. JMIR Formative Research 2021;5(4):e21444 View
  6. Walsh J, Cave J, Griffiths F. Spontaneously Generated Online Patient Experience of Modafinil: A Qualitative and NLP Analysis. Frontiers in Digital Health 2021;3 View
  7. Agüero-Torales M, Abreu Salas J, López-Herrera A. Deep learning and multilingual sentiment analysis on social media data: An overview. Applied Soft Computing 2021;107:107373 View
  8. Laguarta J, Subirana B. Longitudinal Speech Biomarkers for Automated Alzheimer's Detection. Frontiers in Computer Science 2021;3 View
  9. Nguyen A, Trinh X, Wang S, Wu A. Determination of Patient Sentiment and Emotion in Ophthalmology: Infoveillance Tutorial on Web-Based Health Forum Discussions. Journal of Medical Internet Research 2021;23(5):e20803 View
  10. Zhang X, Yang Q, Albaradei S, Lyu X, Alamro H, Salhi A, Ma C, Alshehri M, Jaber I, Tifratene F, Wang W, Gojobori T, Duarte C, Gao X. Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic. Humanities and Social Sciences Communications 2021;8(1) View
  11. Ryan J, Sellak H, Brindal E. The Psychosocial Impacts of COVID-19 on a Sample of Australian Adults: Cross-sectional Survey and Sentiment Analysis. JMIR Public Health and Surveillance 2021;7(7):e29213 View
  12. Alonso M, Vilares D, Gómez-Rodríguez C, Vilares J. Sentiment Analysis for Fake News Detection. Electronics 2021;10(11):1348 View
  13. Yang Y, Al-Garadi M, Love J, Perrone J, Sarker A. Automatic gender detection in Twitter profiles for health-related cohort studies. JAMIA Open 2021;4(2) View
  14. Hama Aziz R, Dimililer N. SentiXGboost: enhanced sentiment analysis in social media posts with ensemble XGBoost classifier. Journal of the Chinese Institute of Engineers 2021;44(6):562 View
  15. Bathina K, ten Thij M, Valdez D, Rutter L, Bollen J, Osório F. Declining well-being during the COVID-19 pandemic reveals US social inequities. PLOS ONE 2021;16(7):e0254114 View
  16. Žunić A, Corcoran P, Spasić I. Aspect-based sentiment analysis with graph convolution over syntactic dependencies. Artificial Intelligence in Medicine 2021;119:102138 View
  17. Lei S, Huang C. Conducting sentiment analysis: Lei L. & Liu D. Elements in Corpus Linguistics, CUP. Language Resources and Evaluation 2022;56(4):1373 View
  18. Gumbs A, Frigerio I, Spolverato G, Croner R, Illanes A, Chouillard E, Elyan E. Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?. Sensors 2021;21(16):5526 View
  19. Shah M, Shu D, Prasath V, Ni Y, Schapiro A, Dufendach K. Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants. Applied Clinical Informatics 2021;12(04):856 View
  20. Goldman H, Porcino J, Divita G, Zirikly A, Desmet B, Sacco M, Marfeo E, McDonough C, Rasch E, Chan L. Informatics Research on Mental Health Functioning: Decision Support for the Social Security Administration Disability Program. Psychiatric Services 2023;74(1):56 View
  21. Corcoran P, Spasić I. Self-Supervised Representation Learning for Geographical Data—A Systematic Literature Review. ISPRS International Journal of Geo-Information 2023;12(2):64 View
  22. Ma H, Sun X, Lawson G, Wang Q, Zhang Y. Visualising emotion in support of patient-physician communication: an empirical study. Behaviour & Information Technology 2022:1 View
  23. Verma S. Sentiment analysis of public services for smart society: Literature review and future research directions. Government Information Quarterly 2022;39(3):101708 View
  24. Kentour M, Lu J, Gadekallu T. An investigation into the deep learning approach in sentimental analysis using graph-based theories. PLOS ONE 2021;16(12):e0260761 View
  25. Smetanin S. Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki. Mathematics 2022;10(16):2947 View
  26. Cui J, Wang Z, Ho S, Cambria E. Survey on sentiment analysis: evolution of research methods and topics. Artificial Intelligence Review 2023 View
  27. Floyd C, Gulavani S, Du J, Kim A, Pappas J. A Tale of Two Cities: COVID-19 and the Emotional Well-Being of Student-Athletes Using Natural Language Processing. Frontiers in Sports and Active Living 2021;3 View
  28. Jang J, Yoon S, Son G, Kang M, Choeh J, Choi K. Predicting Personality and Psychological Distress Using Natural Language Processing: A Study Protocol. Frontiers in Psychology 2022;13 View
  29. Smetanin S, Komarov M. Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research. IEEE Access 2022;10:18886 View
  30. Braig N, Benz A, Voth S, Breitenbach J, Buettner R. Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. IEEE Access 2023;11:14778 View
  31. Saffar A, Mann T, Ofoghi B. Textual emotion detection in health: Advances and applications. Journal of Biomedical Informatics 2023;137:104258 View
  32. Walsh J, Dwumfour C, Cave J, Griffiths F. Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review. BMC Medical Research Methodology 2022;22(1) View
  33. Lu T, Nguyen A, Trinh X, Wu A. Sentiment Analysis Surrounding Blepharoplasty in Online Health Forums. Plastic and Reconstructive Surgery - Global Open 2022;10(3):e4213 View
  34. Zhang Y, Lyu H, Liu Y, Zhang X, Wang Y, Luo J. Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study. JMIR Infodemiology 2021;1(1):e26769 View
  35. Hoang Y, Ngo V, Bich Vu N. Central bank digital currency: A systematic literature review using text mining approach. Research in International Business and Finance 2023;64:101889 View
  36. Kingsley J, Diekmann L, Egerer M, Lin B, Ossola A, Marsh P. Experiences of gardening during the early stages of the COVID-19 pandemic. Health & Place 2022;76:102854 View
  37. Xiang N, Wang L, Zhong S, Zheng C, Wang B, Qu Q. How Does the World View China’s Carbon Policy? A Sentiment Analysis on Twitter Data. Energies 2021;14(22):7782 View
  38. Rahim A, Ibrahim M, Musa K, Chua S, Yaacob N. Patient Satisfaction and Hospital Quality of Care Evaluation in Malaysia Using SERVQUAL and Facebook. Healthcare 2021;9(10):1369 View
  39. Žunić A, Corcoran P, Spasić I. The Case of Aspect in Sentiment Analysis: Seeking Attention or Co-Dependency?. Machine Learning and Knowledge Extraction 2022;4(2):474 View
  40. Chen J, Baxter S. Applications of natural language processing in ophthalmology: present and future. Frontiers in Medicine 2022;9 View
  41. Wu J, Zhang G, Xing Y, Liu Y, Zhang Z, Dong Y, Herrera-Viedma E. A sentiment analysis driven method based on public and personal preferences with correlated attributes to select online doctors. Applied Intelligence 2023 View
  42. Park S, Choi S, Song Y, Kwon J. Comparison of Online Patient Reviews and National Pharmacovigilance Data for Tramadol-Related Adverse Events: Comparative Observational Study. JMIR Public Health and Surveillance 2022;8(1):e33311 View
  43. Ramadi K, Mehta R, He D, Chao S, Chu Z, Atun R, Nguyen F. Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer. npj Digital Medicine 2022;5(1) View
  44. Ramjee D, Smith L, Doanvo A, Charpignon M, McNulty-Nebel A, Lett E, Desai A, Majumder M, Banerjee I. Evaluating criminal justice reform during COVID-19: The need for a novel sentiment analysis package. PLOS Digital Health 2022;1(7):e0000063 View
  45. Lee I, Juang S, Chen S, Ko C, Ma K. Sentiment analysis of tweets on alopecia areata, hidradenitis suppurativa, and psoriasis: Revealing the patient experience. Frontiers in Medicine 2022;9 View
  46. Rahim A, Ibrahim M, Chua S, Musa K. Hospital Facebook Reviews Analysis Using a Machine Learning Sentiment Analyzer and Quality Classifier. Healthcare 2021;9(12):1679 View
  47. Kesiku C, Chaves-Villota A, Garcia-Zapirain B. Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review. Information 2022;13(10):499 View
  48. A. Rahim A, Ibrahim M, Musa K, Chua S, Yaacob N. Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. International Journal of Environmental Research and Public Health 2021;18(18):9912 View
  49. Alhuzali H, Zhang T, Ananiadou S. Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis. Journal of Medical Internet Research 2022;24(10):e40323 View
  50. Khaleghparast S, Maleki M, Hajianfar G, Soumari E, Oveisi M, Golandouz H, Noohi F, dehaki M, Golpira R, Mazloomzadeh S, Arabian M, Kalayinia S. Development of a patients’ satisfaction analysis system using machine learning and lexicon-based methods. BMC Health Services Research 2023;23(1) View
  51. Denecke K, Reichenpfader D. Sentiment analysis of clinical narratives: A scoping review. Journal of Biomedical Informatics 2023;140:104336 View
  52. Malhotra K, Dagli M, Santangelo G, Wathen C, Ghenbot Y, Goyal K, Bawa A, Ozturk A, Welch W. The Digital Impact of Neurosurgery Awareness Month: Retrospective Infodemiology Study. JMIR Formative Research 2023;7:e44754 View
  53. Ferraz R, Furquim T, Kaczam F, Veiga C, Moura G, Silva W, Su Z. Mobile instant messaging as an interaction tool in the business context. Journal of Contemporary Marketing Science 2023;6(1):64 View
  54. Di Cara N, Maggio V, Davis O, Haworth C. Methodologies for Monitoring Mental Health on Twitter: Systematic Review. Journal of Medical Internet Research 2023;25:e42734 View
  55. Molenaar A, Jenkins E, Brennan L, Lukose D, McCaffrey T. The use of sentiment and emotion analysis and data science to assess the language of nutrition-, food- and cooking-related content on social media: a systematic scoping review. Nutrition Research Reviews 2023:1 View

Books/Policy Documents

  1. Demner-Fushman D, Elhadad N, Friedman C. Biomedical Informatics. View
  2. Filicori F, Meireles O. Artificial Intelligence in Medicine. View
  3. Meireles O, Hashimoto D, Datta R, Fuchs H. Innovative Endoscopic and Surgical Technology in the GI Tract. View
  4. Filicori F, Meireles O. Artificial Intelligence in Medicine. View
  5. Kumar S, Prabha R, Samuel S. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. View