Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19222, first published .
Topic Modeling of Social Networking Service Data on Occupational Accidents in Korea: Latent Dirichlet Allocation Analysis

Topic Modeling of Social Networking Service Data on Occupational Accidents in Korea: Latent Dirichlet Allocation Analysis

Topic Modeling of Social Networking Service Data on Occupational Accidents in Korea: Latent Dirichlet Allocation Analysis

Authors of this article:

Kyoung-Bok Min1 Author Orcid Image ;   Sung-Hee Song1 Author Orcid Image ;   Jin-Young Min2 Author Orcid Image

Journals

  1. Zahiri Harsini A, Bohle P, Matthews L, Ghofranipour F, Sanaeinasab H, Amin Shokravi F, Prasad K. Evaluating the Consistency Between Conceptual Frameworks and Factors Influencing the Safe Behavior of Iranian Workers in the Petrochemical Industry: Mixed Methods Study. JMIR Public Health and Surveillance 2021;7(5):e22851 View
  2. Zowalla R, Pfeifer D, Wetter T, Al-Yateem N. Readability and topics of the German Health Web: Exploratory study and text analysis. PLOS ONE 2023;18(2):e0281582 View
  3. Chen J, Williams M, Huang Y, Si S. Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation. Frontiers in Molecular Biosciences 2022;9 View
  4. Wang T, Zheng X, Liang J, An K, He Y, Nuo M, Wang W, Lei J. Use of Machine Learning to Mine User-Generated Content From Mobile Health Apps for Weight Loss to Assess Factors Correlated With User Satisfaction. JAMA Network Open 2022;5(5):e2215014 View
  5. Nitiéma P. Artificial Intelligence in Medicine: Text Mining of Health Care Workers’ Opinions. Journal of Medical Internet Research 2023;25:e41138 View
  6. Obembe D, Kolade O, Obembe F, Owoseni A, Mafimisebi O. Covid-19 and the tourism industry: An early stage sentiment analysis of the impact of social media and stakeholder communication. International Journal of Information Management Data Insights 2021;1(2):100040 View
  7. Nuo M, Zheng S, Wen Q, Fang H, Wang T, Liang J, Han H, Lei J. Mining the Influencing Factors and Their Asymmetrical Effects of mHealth Sleep App User Satisfaction From Real-world User-Generated Reviews: Content Analysis and Topic Modeling. Journal of Medical Internet Research 2023;25:e42856 View
  8. Li Y, Li C, Zhang T, Wu L, Lin X, Li Y, Wang L, Yang H, Lu D, Miao D, Fang P. Questionnaires based on natural language processing elicit immersive ruminative thinking in ruminators: Evidence from behavioral responses and EEG data. Frontiers in Neuroscience 2023;17 View
  9. Macedo J, Ramos P, Maior C, Moura M, Lins I, Vilela R. Identifying low-quality patterns in accident reports from textual data. International Journal of Occupational Safety and Ergonomics 2023;29(3):1088 View
  10. Cheng L, Choi S, Legaspi R, Lian J. Using Mixed Method to Understand Customer Experience With Digital Banking Services. Journal of Global Information Management 2023;31(1):1 View
  11. Sun S, Zack T, Williams C, Sushil M, Butte A. Topic modeling on clinical social work notes for exploring social determinants of health factors. JAMIA Open 2024;7(1) View
  12. He Y, Zhu W, Wang T, Chen H, Xin J, Liu Y, Lei J, Liang J. Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study. JMIR mHealth and uHealth 2024;12:e55199 View