Latent Dirichlet Allocation for Double Clustering (LDA-DC): Discovering patients phenotypes and cell populations within a single Bayesian framework [PDF]
Elie-Julien El Hachem +2 more
openalex +1 more source
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
Exploring Players’ Perspectives: A Comprehensive Topic Modeling Case Study on Elden Ring
Game reviews heavily influence public perception. User feedback is crucial for developers, offering valuable insights to enhance game quality. In this research, Metacritic game reviews for Elden Ring were analyzed for topic modeling using Latent ...
Fatemeh Dehghani, Loutfouz Zaman
doaj +1 more source
Aviation Safety Mandatory Report Topic Prediction Model using Latent Dirichlet Allocation (LDA)
Jun Hwan Kim +3 more
openalex +2 more sources
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley +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
Scene Semantic Recognition Based on Probability Topic Model
In recent years, scene semantic recognition has become the most exciting and fastest growing research topic. Lots of scene semantic analysis methods thus have been proposed for better scene content interpretation.
Jiangfan Feng, Amin Fu
doaj +1 more source
Who Cares: Why the Israeli–Palestinian Conflict Matters (More) to Some EU Member States
Abstract What drives the salience of the Israeli–Palestinian conflict amongst EU member states? This article employs domestic foreign policy theories to explain the factors underlying variation in salience, estimated analysing all country statements made at the United Nations General Assembly between 1993 and 2017.
Valerio Vignoli +2 more
wiley +1 more source
The Racialisation of Rape: A Far‐Right Tool for Boundary‐Creation Across Borders
ABSTRACT Far‐right parties and movements have increasingly come to incorporate ideas of gender equality into their political agendas. While seemingly out of concern for women's rights and safety, these issues are in reality seldom more than a veil to further the stigmatisation of Muslim men.
Mathilda Åkerlund
wiley +1 more source
ABSTRACT This study presents one of the first comparative analyses of digital nationalism on social media. Using a computational mixed‐method approach—combining supervised, computer‐assisted content analysis with network modelling—it analyses 64,541 tweets from Twitter and 91,063 posts from Weibo surrounding a shared geopolitical flashpoint: President ...
Chris Chao Su, Jun Liu
wiley +1 more source

