Results 81 to 90 of about 970,151 (199)
Sustainable Development, EarlyView.ABSTRACT European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and
Isabela Pichardo‐Velázquez +2 more
wiley +1 more source
Latent Dirichlet Allocation Coupled with Bayesian Time Series Analyses
, 2019 Combines Latent Dirichlet Allocation and Bayesian Multinomial Time Series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal ...
Juniper L. Simonis +13 more
core +4 more sources
Analyzing Clustered Latent Dirichlet Allocation [PDF]
, 2016 Dynamic Topic Models (DTM) are a way to extract time-variant information from a collection of documents. The only available implementation of this is slow, taking days to process a corpus of 533,588 documents.
Gropp, Christopher
core +1 more source
Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
Frontiers in Artificial Intelligence, 2020 With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi +2 more
doaj +1 more source
Sustainable Development, EarlyView.ABSTRACT Climate‐smart agriculture (CSA) is widely promoted to enhance resilience and productivity among smallholder farmers, yet its diffusion remains uneven due to structural barriers and heterogeneous adoption contexts. Existing forecasting tools, such as the Adoption and Diffusion Outcome Prediction Tool (ADOPT), estimate adoption trajectories but ...
Denis Momanyi +6 more
wiley +1 more source
Latent Dirichlet Allocation in Generative Adversarial Networks
CoRR, 2018 We study the problem of multimodal generative modelling of images based on generative adversarial networks (GANs). Despite the success of existing methods, they often ignore the underlying structure of vision data or its multimodal generation characteristics.
Lili Pan 0001 +4 more
openaire +2 more sources
Sustainable Development, EarlyView.ABSTRACT The integration of Environmental, Social and Governance (ESG) criteria into sustainable development exposes critical limitations in traditional cost modelling for Asset Lifecycle Management. Through a systematic review of 64 studies (2016–2025), this research identifies gaps including the compartmentalisation of ESG factors, methodological ...
Ziru Tao +4 more
wiley +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. We used our algorithm to analyze a corpus of 1.2 million books (33 billion words) with thousands of topics.
David M. Mimno +2 more
openaire +3 more sources
The Sensitivity of Latent Dirichlet Allocation for Information Retrieval [PDF]
, 2009 It has been shown that the use of topic models for Information retrieval provides an increase in precision when used in the appropriate form. Latent Dirichlet Allocation (LDA) is a generative topic model that allows us to model documents using a Dirichlet prior.
Laurence Anthony F. Park +1 more
openaire +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source