Secure latent Dirichlet allocation [PDF]
Frontiers in Digital HealthTopic modelling refers to a popular set of techniques used to discover hidden topics that occur in a collection of documents. These topics can, for example, be used to categorize documents or label text for further processing. One popular topic modelling
Thijs Veugen +4 more
doaj +7 more sources
Latent Dirichlet Allocation modeling of environmental microbiomes [PDF]
PLoS Computational Biology, 2023 Interactions between stressed organisms and their microbiome environments may provide new routes for understanding and controlling biological systems. However, microbiomes are a form of high-dimensional data, with thousands of taxa present in any given ...
Anastasiia Kim +3 more
doaj +6 more sources
Latent Dirichlet Allocation in predicting clinical trial terminations [PDF]
BMC Medical Informatics and Decision Making, 2019 Background This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, from the ones that terminate ...
Simon Geletta +2 more
doaj +5 more sources
Latent DIRICHLET allocation (LDA) based information modelling on BLOCKCHAIN technology: a review of trends and research patterns used in integration. [PDF]
Multimed Tools Appl, 2022 The past decade is known as the era of integrations where multiple technologies had integrated, and new research trends were seen. The security of data and information in the digital world has been a challenge to everyone; Blockchain technology has ...
Sharma C, Sharma S, Sakshi.
europepmc +4 more sources
A Zero-Inflated Latent Dirichlet Allocation Model for Microbiome Studies [PDF]
Frontiers in Genetics, 2021 The human microbiome consists of a community of microbes in varying abundances and is shown to be associated with many diseases. An important first step in many microbiome studies is to identify possible distinct microbial communities in a given data set
Rebecca A. Deek, Hongzhe Li
doaj +3 more sources
LDA filter: A Latent Dirichlet Allocation preprocess method for Weka. [PDF]
PLoS ONE, 2020 This work presents an alternative method to represent documents based on LDA (Latent Dirichlet Allocation) and how it affects to classification algorithms, in comparison to common text representation.
P Celard +3 more
doaj +3 more sources
IEEE Access, 2023 To investigate the advancements of artificial intelligence techniques in the realm of library and information subject, we have chosen the Latent Dirichlet Allocation method as a case study to explore its current study status and implementations ...
Xinzhou Pan, Yu Xu
doaj +2 more sources
Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method. [PDF]
Int J Environ Res Public Health, 2023 An ICU is a critical care unit that provides advanced medical support and continuous monitoring for patients with severe illnesses or injuries. Predicting the mortality rate of ICU patients can not only improve patient outcomes, but also optimize ...
Chiu CC +5 more
europepmc +2 more sources
Understanding Airline Passengers during Covid-19 Outbreak to Improve Service Quality: Topic Modeling Approach to Complaints with Latent Dirichlet Allocation Algorithm. [PDF]
Transp Res Rec, 2023 The COVID-19 pandemic has deeply affected the airline industry, as it has many sectors, and has created tremendous financial pressure on companies. Flight bans, new regulations, and restrictions increase consumer complaints and are emerging as a big ...
Çallı L, Çallı F.
europepmc +2 more sources
Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation
JOIN: Jurnal Online Informatika, 2021 Before conducting a research project, researchers must find the trends and state of the art in their research field. However, that is not necessarily an easy job for researchers, partly due to the lack of specific tools to filter the required information
Kartika Rizqi Nastiti +2 more
doaj +3 more sources