Results 101 to 110 of about 1,033,557 (227)
, 2014 Significant clusters identified during hourly aggregations using Latent Dirichlet Allocation and their associated topics.
Tao Cheng (131540) +1 more
core +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 JAE's Positioning Within Agricultural Economics: A Text‐Based Analysis
Journal of Agricultural Economics, EarlyView.ABSTRACT On the occasion of the centenary of the Agricultural Economics Society, this study investigates the positioning of the Journal of Agricultural Economics (JAE) within the broader landscape of the main agricultural economics journals. We employ a quantitative text analysis approach, estimating a Structural Topic Model (STM) on a unique corpus of
Leonardo Cei +2 more
wiley +1 more source
Exact marginal inference in Latent Dirichlet Allocation
CoRR, 2020 Assume we have potential "causes" $z\in Z$, which produce "events" $w$ with known probabilities $β(w|z)$. We observe $w_1,w_2,...,w_n$, what can we say about the distribution of the causes? A Bayesian estimate will assume a prior on distributions on $Z$ (we assume a Dirichlet prior) and calculate a posterior. An average over that posterior then gives a
openaire +2 more sources
European Management Review, EarlyView.Abstract Firm innovation and corporate social responsibility (CSR) are key strategic considerations that shape a firm's competitiveness and sustainability. However, studies exploring the relationship between the two are heterogeneous and sometimes obtain contradictory results, making it difficult to draw clear conclusions.
Daniel Alonso‐Martínez +2 more
wiley +1 more source
, 2014 Significant clusters identified during daily aggregations using Latent Dirichlet Allocation and their associated topics.
Tao Cheng (131540) +1 more
core +1 more source
Covid-19 Tweets Sentiment Analysis with Latent Dirichlet Allocation Topic Modeling
The Owl, 2022 Analysis of Covid-19 vaccine tweets has been an extensive focus in understanding user trends throughout the pandemic. This project concentrated on the development of a Latent Dirichlet Allocation (LDA) model along with sentiment analysis to better ...
Akhil Shiju
doaj
Taking stock of gendered social networks in organizations and careers: A literature review
European Management Review, EarlyView.Abstract Ample research has explored men's and women's social networks, with the aim to link differences in structural properties of networks and networking behaviors to varying career outcomes. Despite the diverse contexts and methods, representing many aspects and nuances of the role played by gender in organizations, much of contemporary research ...
Sofiya Voytiv +4 more
wiley +1 more source
Semantic annotation of large satellite images using Latent Dirichlet Allocation
, 2008 Images can be annotated semantically by using Latent Dirichlet ...
Maitre, Henri +2 more
core
Ethology, EarlyView.In this study, we trace the parallels between developmental approaches in ethology (developmental psychobiology) and evolutionary biology (the Extended Evolutionary Synthesis), with a focus on the theoretical contributions of Meredith J. West and Andrew P. King.
Juan Gefaell, Tobias Uller
wiley +1 more source