Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33166, first published .
Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review

Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review

Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review

Journals

  1. Mota F, Braga L, Cabral B. Alternative Dispute Resolution Research Landscape from 1981 to 2022. Group Decision and Negotiation 2023;32(6):1415 View
  2. Braga L, Lopes R, Alves L, Mota F. The global patent landscape of artificial intelligence applications for cancer. Nature Biotechnology 2023;41(12):1679 View
  3. Da C, Duan Y, Ji Z, Chen J, Xia H, Weng Y, Zhou T, Yuan C, Cai T. Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining approach to online health communities. Supportive Care in Cancer 2024;32(5) View
  4. Romero J, Feijoo-Garcia M, Nanda G, Newell B, Magana A. Evaluating the Performance of Topic Modeling Techniques with Human Validation to Support Qualitative Analysis. Big Data and Cognitive Computing 2024;8(10):132 View
  5. Li Y, Li X, Zhai Y, Wang D, Hon C. Misinformation Features Detection in Weibo: Unsupervised Learning, Latent Dirichlet Allocation, and Network Structure. IEEE Access 2024;12:166977 View

Books/Policy Documents

  1. Khan M, Wakabayashi K. Information Integration and Web Intelligence. View