Results 81 to 90 of about 13,047 (256)
ldagibbs: A command for topic modeling in Stata using latent Dirichlet allocation [PDF]
In this article, I introduce the ldagibbs command, which implements latent Dirichlet allocation in Stata. Latent Dirichlet allocation is the most popular machine-learning topic model.
Schwarz, Carlo
core +1 more source
Website Automatic Summarization Based on Website Hierarchy and Latent Dirichlet Allocation [PDF]
Jisuanji gongcheng, 2017 In recent years,the research of automatic summarization is mostly about multi-documents and Web pages,but less about website summarization.A method that summarizes a website automatically based on the hierarchical structure of the website and Latent ...
LI Shu’ai,YANG Jing,GU Junzhong
doaj +1 more source
Latent Dirichlet Allocation for Automatic Document Categorization [PDF]
, 2009 In this paper we introduce and evaluate a technique for applying latent Dirichlet allocation to supervised semantic categorization of documents. In our setup, for every category an own collection of topics is assigned, and for a labeled training document only topics from its category are sampled.
István Bíró, Jácint Szabó
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Strategic Change, EarlyView.ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega +4 more
wiley +1 more source
Empirical prior latent Dirichlet allocation model
, 2019 In this study, empirical prior Dirichlet allocation (epLDA) model that uses latent semantic indexing framework to derive the priors required for topics computation from data is presented.
Adewole, P.A. +2 more
core +1 more source
Sparse Stochastic Inference for Latent Dirichlet allocation [PDF]
, 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 +2 more sources
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
Bayesian latent variable models for collaborative item rating prediction
, 2011 Collaborative filtering systems based on ratings make it easier for users to find content of interest on the Web and as such they constitute an area of much research.
Harvey, Morgan Alexander +9 more
core +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
Local labor market frictions and platform‐based entrepreneurship
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Building on prior research about the heterogeneous impact of labor shocks on individuals' propensity to start businesses, we explore how local labor market frictions affect individuals' selection into platform‐based entrepreneurship.
Ruiqing Cao, Yifan Lyu
wiley +1 more source