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Algorithms
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Algoritmos
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Análisis Temático
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Análisis de Fourier
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Análisis funcional
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Asignación Latente de Dirichlet
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Biología molecular
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Digital Documents
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Documentos Digitales
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Evolución temática
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Igualdad de género
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Inteligencia artificial
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LDA
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Latent Dirichlet Allocation
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Medios de comunicación social
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Redes sociales
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SCOPUS
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Social media
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Social networks
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Teoría algebraica de los números
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Thematic Analysis
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Topic evolution
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1081“…We performed the latent Dirichlet allocation (LDA) algorithm for topic modeling and carried out a sentiment analysis. …”
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1082“…Un-weighted Unifrac also demonstrated that the probable group had a higher beta diversity than both the healthy and the confirmed group. A Dirichlet-multinomial mixture (DMM) model-based clustering method partitioned the tonsil microbiota into two distinct community types that did not correspond with disease status. …”
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1083“…METHODS: Data were collected from the patient medication reviews of sildenafil and tadalafil posted on WebMD and Ask a Patient. The latent Dirichlet allocation method of natural language processing was used to identify 5 distinctive topics from the patient medication reviews on each drug. …”
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1084por Seltzer, Emily K, Guntuku, Sharath Chandra, Lanza, Amy L, Tufts, Christopher, Srinivas, Sindhu K, Klinger, Elissa V, Asch, David A, Fausti, Nick, Ungar, Lyle H, Merchant, Raina M“…We used a machine learning tool, latent Dirichlet allocation, to identify 100 topics or themes within these reviews and used Pearson r to identify statistically significant correlations between topics and high (5-star) and low (1-star) ratings. …”
Publicado 2022
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1085“…On sentiment analysis, negative sentiment overwhelmed positive sentiment, and fear was the dominant emotion across the period. For the latent Dirichlet allocation model on tweets with fear emotion, the two topics were identified as “infect” and “vaccine confidence.” …”
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1086“…NeRiT adopts the flexible Bayesian Dirichlet process regression to obtain the gene expression prediction weights in the first stage, uses pointwise mutual information to represent the general between-node correlation in the second stage and can effectively take the network structure among different gene nodes into account. …”
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1087por Hoque Tania, Marzia, Hossain, Md Razon, Jahanara, Nuzhat, Andreev, Ilya, Clifton, David A“…RESULTS: A mixed methods approach, including topic modeling using latent Dirichlet allocation, identified the top topics from the corpus to understand how Twitter users engage with discussions on work-related sentiments. …”
Publicado 2022
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1088por Awoyemi, Toluwalase, Ogunniyi, Kayode E, Adejumo, Adedolapo V, Ebili, Ujunwa, Olusanya, Abiola, Olojakpoke, Eloho H, Shonibare, Olufunto“…Finally, we used the latent Dirichlet allocation algorithm to determine relevant high-risk COVID-19 themes. …”
Publicado 2022
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1089por Mylläri, Sanna, Saarni, Suoma Eeva, Ritola, Ville, Joffe, Grigori, Stenberg, Jan-Henry, Solbakken, Ole André, Czajkowski, Nikolai Olavi, Rosenström, Tom“…METHODS: We defined 2 latent Dirichlet allocation (LDA) topic models using a novel data-driven and a more commonly used interpretability-based topic number selection approaches. …”
Publicado 2022
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1090por Fowobaje, Kayode Raphael, Mashood, Lawal Olumuyiwa, Ekholuenetale, Michael, Ibidoja, Olayemi Joshua“…Textual data were clustered about their topical content using Latent Dirichlet Allocation (LDA), and speech cohesion between these addresses was examined using a similarity matrix and heatmap. …”
Publicado 2022
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1091por Shah, Adnan Muhammad, Yan, Xiangbin, Qayyum, Abdul, Naqvi, Rizwan Ali, Shah, Syed Jamal“…METHODS: Text data were collected, including 55,612 PORs of 3430 doctors from three popular PRWs in the United States (RateMDs, HealthGrades, and Vitals) from March 01 to June 27, 2020. An improved latent Dirichlet allocation (LDA)-based topic modeling (topic coherence-based LDA [TCLDA]), manual annotation, and sentiment analysis tool were applied to extract a suitable number of topics, generate corresponding keywords, assign topic names, and determine trends in the extracted topics and specific emotions. …”
Publicado 2021
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1092“…The main topics of the papers were extracted through the Latent Dirichlet Allocation algorithm. Finally, temporal analysis was used to explore trends in the evolution of themes and health belief structures in the papers. …”
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1093“…The R package “Bibliometrix,” VOSviewer, CiteSpace, meta, and latent Dirichlet allocation (LDA) in Python were used to generate bibliometric and meta-analytical results. …”
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1094por Smith, Tyler J.S., Navas-Acien, Ana, Baker, Sarah, Kok, Caryn, Kruczynski, Kate, Avolio, Lindsay N., Pisanic, Nora, Randad, Pranay R., Fry, Rebecca C., Goessler, Walter, van Geen, Alexander, Buckley, Jessie P., Rahman, Md Hafizur, Ali, Hasmot, Haque, Rezwanul, Shaikh, Saijuddin, Siddiqua, Towfida J., Schulze, Kerry, West, Keith P., Labrique, Alain B., Heaney, Christopher D.“…In complete cases (n = 765 [97.6%]), we fitted linear, beta, and Dirichlet regression models to estimate cross-sectional differences in iAs%, MMA%, DMA%, PMI, and SMI per IQR-unit difference in each anthropometric measure, adjusting for drinking water arsenic, age, gestational age, education, living standards index, and plasma folate, vitamin B12, and homocysteine. …”
Publicado 2023
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1095por Africa, Pasquale Claudio, Piersanti, Roberto, Regazzoni, Francesco, Bucelli, Michele, Salvador, Matteo, Fedele, Marco, Pagani, Stefano, Dede’, Luca, Quarteroni, Alfio“…Additionally, [Formula: see text] -ep integrates the generation of myocardial fibers based on Laplace–Dirichlet Rule-Based Methods, previously released in Africa et al., 2023, within [Formula: see text] -fiber. …”
Publicado 2023
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1096“…Based on the latent Dirichlet allocation algorithm we identified 25 topics that represent different diagnoses. …”
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1097por Zhan, Yongcheng, Liu, Ruoran, Li, Qiudan, Leischow, Scott James, Zeng, Daniel Dajun“…METHODS: We collected data from Reddit (27,638 e-cigarette flavor-related posts from January 1, 2011, to June 30, 2015), JuiceDB (14,433 e-juice reviews from June 26, 2013 to November 12, 2015), and Twitter (13,356 “e-cig ban”-related tweets from January, 1, 2010 to June 30, 2015). Latent Dirichlet Allocation, a generative model for topic modeling, was used to analyze the topics from these data. …”
Publicado 2017
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1098por Palmius, Niclas, Saunders, Kate E A, Carr, Oliver, Geddes, John R, Goodwin, Guy M, De Vos, Maarten“…We developed a new model using a Dirichlet process prior for splitting individuals into groups, with a Bayesian Lasso model in each group to link behavioral features with mental illness. …”
Publicado 2018
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1099“…To account for parameter uncertainty, probabilistic sensitivity analysis was employed through Gamma, Normal, and Dirichlet distributions. All utilities, costs, and transition probabilities were replaced by fitted distributions. …”
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1100por Niccolai, Elena, Baldi, Simone, Ricci, Federica, Russo, Edda, Nannini, Giulia, Menicatti, Marta, Poli, Giovanni, Taddei, Antonio, Bartolucci, Gianluca, Calabrò, Antonino Salvatore, Stingo, Francesco Claudio, Amedei, Amedeo“…Data analysis was carried out using Wilcoxon rank-sum test to assess pairwise differences of SCFAs’ profiles, partial least squares-discriminate analysis (PLS-DA) to determine the status membership based on distinct SCFAs’ profiles, and Dirichlet regression to determine factors influencing concentration levels of SCFAs. …”
Publicado 2019
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