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Investigating Reddit Data on Type 2 Diabetes Management During the COVID-19 Pandemic Using Latent Dirichlet Allocation Topic Modeling and Valence Aware Dictionary for Sentiment Reasoning Analysis: Content Analysis. [PDF]

JMIR Form Res
Nagpal M, Jalali N, Sherifali D, Morita P, Cafazzo JA.   +4 more
europepmc   +1 more source

Public Attention to Mpox in China During the Pandemic: Qualitative Analysis of TikTok Data Using Latent Dirichlet Allocation Topic Modeling.

J Med Internet Res
Luo D, Xu J, Jiang Y, Tan M, Yao Y, He L, Ma J, Dong W, Luo W, Zhou C.   +9 more
europepmc   +1 more source

“Is this Herpes or Syphilis?”: Latent Dirichlet Allocation Analysis of Sexually Transmitted Disease-Related Reddit Posts During the COVID-19 Pandemic

, 2022
Johnson AK, Bhaumik R, Nandi D, Roy A, Mehta SD.   +4 more
europepmc   +1 more source

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Bug localization using latent Dirichlet allocation

Information and Software Technology, 2010
Context: Some recent static techniques for automatic bug localization have been built around modern information retrieval (IR) models such as latent semantic indexing (LSI). Latent Dirichlet allocation (LDA) is a generative statistical model that has significant advantages, in modularity and extensibility, over both LSI and probabilistic LSI (pLSI ...
Stacy K. Lukins, Nicholas A. Kraft, Letha H. Etzkorn   +2 more
openaire   +3 more sources