Results 61 to 70 of about 63,472 (294)
Analisis Topik Tagar Covidindonesia pada Instagram Menggunakan Latent Dirichlet Allocation
JISKA (Jurnal Informatika Sunan Kalijaga), 2022 In this era, technology is increasingly sophisticated, this is evidenced by the number of people using the internet via cell phones, laptops, and other communication tools.
Kevin Rafi Adjie Putra Santoso +3 more
doaj +1 more source
Renormalization Analysis of Topic Models
Entropy, 2020 In practice, to build a machine learning model of big data, one needs to tune model parameters. The process of parameter tuning involves extremely time-consuming and computationally expensive grid search.
Sergei Koltcov, Vera Ignatenko
doaj +1 more source
Sparse Stochastic Inference for Latent Dirichlet allocation
, 2012 We present a hybrid algorithm for Bayesian topic models that combines the efficiency of sparse Gibbs sampling with the scalability of online stochastic inference.
Blei, David, Hoffman, Matt, Mimno, David
core +2 more sources
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework
AAAI Conference on Artificial Intelligence, 2020 Latent Dirichlet Allocation (LDA) is a widely adopted topic model for industrial-grade text mining applications. However, its performance heavily relies on the collection of large amount of text data from users' everyday life for model training.
Yansheng Wang, Yongxin Tong, D. Shi
semanticscholar +1 more source
The Auto Annotation Latent Dirichlet Allocation [PDF]
Advances in Intelligent Systems Research, 2015 In this paper, we introduce the Auto-Annotation LDA models (aaLDA), a statistical model of non-labeled documents. This model generates the annotation of LDA automatically. We derive the annotation of LDA using a k-means methods combined with a pre-processing of the corpus.
Jikun Yan, Dongmei Yang, Yingzhuo Xiang
openaire +1 more source
Entrepreneurial crowdfunding backer motivations: a latent Dirichlet allocation approach
European Journal of Innovation Management, 2021 PurposeThis study furthers one’s understanding of the motivations of the crowdfunding crowd by empirically examining critical factors that influence the crowd's decision to support a crowdfunding project.Design/methodology/approachBacker's comments from ...
J. St. John, Kathryn St John, Bo Han
semanticscholar +1 more source
Uncovering the themes and trends in crowdfunding research using Latent Dirichlet Allocation
Management Review QuarterlyCrowdfunding (CF) has become a significant force in the entrepreneurial landscape, offering an innovative alternative to traditional financing channels for startups and projects.
Abderahman Rejeb +4 more
semanticscholar +1 more source
PLoS ONE, 2020 The study aims to understand Twitter users’ discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in English) related to coronavirus collected from January 23 to March 7, 2020 ...
Jia Xue +5 more
semanticscholar +1 more source
Advanced Intelligent Systems, EarlyView.gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
Learning a Weather Dictionary of Atmospheric Patterns Using Latent Dirichlet Allocation
Geophysical Research Letters, 2021 Mid‐latitude circulation dynamics is often described in terms of weather regimes. Each pattern is given by a given combination of several synoptic objects (cyclones and anticyclones). Such intrication makes it arduous to quantify recurrence and intensity
Lucas Fery +4 more
semanticscholar +1 more source