Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
Information Systems Journal, EarlyView.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
JCMS: Journal of Common Market Studies, EarlyView.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
Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation
, 2023 Daniel Atzberger +4 more
openalex +1 more source
Variable Selection for Latent Dirichlet Allocation
, 2012 In latent Dirichlet allocation (LDA), topics are multinomial distributions over the entire vocabulary. However, the vocabulary usually contains many words that are not relevant in forming the topics. We adopt a variable selection method widely used in statistical modeling as a dimension reduction tool and combine it with LDA. In this variable selection
Kim, Dongwoo +2 more
openaire +2 more sources
Optimize Searching Using Latent Dirichlet Allocation
International Journal of Intelligent Systems and Applications in Engineering, 2023 This research focuses on topic modeling as a crucial method for exploring extensive document collections and uncovering latent topics within the data. Specifically, it highlights the Latent Dirichlet Allocation (LDA) algorithm from the perspective of natural language processing.
E. Ignaco, Mary Ann, Ballera, Melvin A.
openaire +1 more source
Who Cares: Why the Israeli–Palestinian Conflict Matters (More) to Some EU Member States
JCMS: Journal of Common Market Studies, EarlyView.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
Aviation Safety Mandatory Report Topic Prediction Model using Latent Dirichlet Allocation (LDA)
, 2023 Jun Hwan Kim +3 more
openalex +2 more sources
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Inference of topics with Latent Dirichlet Allocation for Open Government Data
, 2022 Nádia Félix Felipe da Silva +3 more
openalex +1 more source
Constructing dynamic residential energy lifestyles using Latent Dirichlet Allocation [PDF]
Applied Energy, 2022 Xiao Chen +3 more
semanticscholar +1 more source