Integrating insights into radicalization: A text‐mining systematic review
Abstract The study of radicalization encompasses a broad spectrum of perspectives, with scholars from diverse disciplines – ranging from psychology, sociology, political science, criminology, to economics – contributing to its multifaceted comprehension. Despite this substantial body of empirical research, the knowledge is fragmented across disciplines,
Anna Knorr +3 more
wiley +1 more source
The development of artificial intelligence technologies has led to their massive integration in various fields, including daily life. Text data plays a pivotal role in the world of artificial intelligence, especially in machine learning, allowing ...
Shahlaa Mashhadani
doaj +1 more source
State Intervention in Vocational Education: Training for the Digital and Green Transitions
ABSTRACT Governments across the European Union (EU) have pledged a stronger commitment to vocational education and training (VET) in response to economic structural change. But have states actually become more central to skill formation? Using mixed methods, this paper examines whether state involvement in European skill formation systems has increased
Milan Thies
wiley +1 more source
Optimasi LDA untuk Analisis Keluhan Nasabah Perbankan dengan Grid Search
Penelitian ini bertujuan untuk menganalisis topik pada data keluhan nasabah perbankan menggunakan metode Latent Dirichlet Allocation (LDA) yang disempurnakan dengan penyetelan parameter menggunakan Grid Search. Dataset berasal dari situs ConsumerFinance.
Rika Afriyani, Eka Angga Laksana
doaj +1 more source
Topic Modeling of Fatty Acid Studies: Evaluating Environmental Changes in Freshwater Ecosystems
ABSTRACT Fatty acids (FAs) are biochemical molecules with vital structural and metabolic functions in all living organisms. Over the last decades, FA analysis in ecological studies has garnered significant attention due to its diverse applicability, such as taxonomic support for species identification, investigations on trophic interactions, and ...
A. C. Campos, B. Gücker, I. G. Boëchat
wiley +1 more source
Opening the Black Box of EU Digital Sovereignty: A Macro‐Level Analysis of the Concept's Development
ABSTRACT Digital sovereignty has emerged as a central organizing principle in European Union governance, yet systematic understanding of its conceptual evolution remains limited. This article provides the first macro‐level analysis of how digital sovereignty evolves across institutional and academic domains.
Aleksei Turobov +2 more
wiley +1 more source
A Comparative Study of Topic Modelling Approaches for User-generated Point of Interest Data
This study aims to enhance urban planning and management by harnessing the power of machine learning (ML) and big data. We focus on Urban Functional Zones (UFZs), the fundamental units for human socio-economic activities.
Ravi Satyappa Dabbanavar, Arindam Biswas
doaj +1 more source
FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications [PDF]
Daniel Backenroth +8 more
openalex +1 more source
A Topic Testlet Model for Calibrating Testlet Constructed Responses
Abstract Constructed responses (CRs) within testlets are widely used to assess complex skills but can pose calibration challenges due to local item dependence. A few current testlet models incorporate testlet‐specific effects to address local dependence but struggle with interpreting these effects and may not fully capture the complexities of CR items ...
Jiawei Xiong +8 more
wiley +1 more source
Classification of Twitter Trending Issues Through Three Clustering Methods
Twitter is one of the most dynamic social media platforms that provides real-time information through its trending topics feature, which reflects the most talked about issues among users.
Dwie Putri Donnaro, Dadang Gunawan
doaj +1 more source

