Results 111 to 120 of about 970,151 (199)
Reliability measures in knowledge structure theory
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
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
Extending Information Retrieval Methods to Personalized Genomic-Based Studies of Disease
Genomic-based studies of disease now involve diverse types of data collected on large groups of patients. A major challenge facing statistical scientists is how best to combine the data, extract important features, and comprehensively characterize the ...
Shuyun Ye +2 more
doaj +1 more source
Taking stock of gendered social networks in organizations and careers: A literature review
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
Latent dirichlet markov allocation for sentiment analysis [PDF]
In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used to analyse content of documents.
Bagheri, A, Saraee, MH, de Jong, F
openaire +2 more sources
Abstract The present article presents an integrative review related to stewardship in all the business and management disciplines, from its initial development in 1980 to the present. Specifically, we applied a latent Dirichlet allocation‐based topic modelling analysis to almost 1200 articles, seeking to creatively synthesize the concept of stewardship
Debora Casoli +3 more
wiley +1 more source
ABSTRACT This study draws on Instagram‐related data to examine how and why the equity and equality principles of fairness govern police communication with socially disadvantaged neighbourhoods on social media. Using the computationally intensive theory construction methodology and drawing on institutional theory and the framework for the interplay of ...
Nataliya Berbyuk Lindström +2 more
wiley +1 more source
Training Algorithms for Multilingual Latent Dirichlet Allocation [PDF]
Multilingual Latent Dirichlet Allocation (MLDA) is an extension of Latent Dirichlet Allocation (LDA) in a multilingual setting, which aims to discover aligned latent topic structures of a parallel corpus.
Jin, Haibo
core
Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation
Latent Dirichlet allocation allows a semantic annotation of remote sensing ...
Maitre, Henri +2 more
core +1 more source
The Narrative Continent: Discursive Recognition and the EU's Technological Actorness
Abstract Recognition in global politics is not only earned through institutions or capabilities; it is narrated into being. This article investigates how the European Union (EU) is framed as a technological actor in global discourse, focusing on the symbolic dynamics of discursive recognition.
Mahmoud Javadi
wiley +1 more source

