Results 51 to 60 of about 2,128 (194)

Fintextsim: Enhancing Financial Text Analysis with Bertopic

Recent advancements in information availability and computational capabilities have transformed the analysis of annual reports, integrating traditional financial metrics with insights from textual data. To extract valuable insights from this wealth of textual data, automated review processes, such as topic modeling, are crucial. This study examines the
Jehnen, Simon, Ordieres-Meré, Joaquín, Villalba-Díez, Javier   +2 more
openaire   +2 more sources

Real‐Time Anxiety and Depression Detection by Combining Large Language Models and Machine Learning With Explainability Capabilities on a User‐Centric, Engaging Conversational Assistant

Expert Systems, Volume 43, Issue 4, April 2026.
ABSTRACT Mental well‐being is a worldwide priority of health systems. Nevertheless, the diagnosis and recovery rates are still low. This work demonstrates an Artificial Intelligence (AI)‐based, entertainment‐oriented, engaging assistant that can deliver on‐demand, non‐judgmental assessment in an accessible, scalable, and personalised way to people ...
Silvia García‐Méndez, Francisco de Arriba‐Pérez, Julen Beiro‐Suso, Francisco J. González‐Castaño   +3 more
wiley   +1 more source

Quantitative identification and characterization of technological trends in the electric vehicle industry

Journal of Intellectual Property
With growing attention being paid to electric vehicle (EV) technology as a response to climate change, researchers have been actively investigating the classification and trajectory trends of EV technology.
Wonjun Choi, Hyunseok Park
doaj   +1 more source

Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic

Humanities and Social Sciences Communications
Global scientific output is expanding exponentially, which in turn calls for a better understanding of the science of science and especially how the boundaries of scientific fields expand through processes of emergence.
Keungoui Kim, D. Kogler, Sira Maliphol
semanticscholar   +1 more source

Enhancing BERTopic with Intermediate Layer Representations

BERTopic is a topic modeling algorithm that leverages transformer-based embeddings to create dense clusters, enabling the estimation of topic structures and the extraction of valuable insights from a corpus of documents. This approach allows users to efficiently process large-scale text data and gain meaningful insights into its structure.
Koterwa, Dominik, Świtała, Maciej
openaire   +2 more sources

BERT for Arabic Topic Modeling: An Experimental Study on BERTopic Technique

Procedia Computer Science, 2021
Abstract Topic modeling is an unsupervised machine learning technique for finding abstract topics in a large collection of documents. It helps in organizing, understanding and summarizing large collections of textual information and discovering the latent topics that vary among documents in a given corpus.
Abeer Abuzayed, Hend Al-Khalifa
openaire   +1 more source

Chatting Towards Inclusivity: A Digital Approach to Inclusion Action Plans and Leader Development

Human Resource Management, Volume 65, Issue 2, Page 605-630, March/April 2026.
ABSTRACT Inclusion is a cornerstone of success for organizations and society, yet inclusion is not guaranteed. Building on inclusive leadership research and relational models theory, we argue that inclusion cannot manifest without systematic effort and planning by leaders.
Vindhya Singh, Jessi Mariah Rivin, H. Phoenix van Wagoner, Ksenia Keplinger, Jay Barbuto   +4 more
wiley   +1 more source

Sense‐Making and Gratitude in the Aftermath of Hurricane Helene

Journal of Clinical Psychology, Volume 82, Issue 3, Page 308-316, March 2026.
ABSTRACT Objective Early on the morning of September 27, 2024, Hurricane Helene roared through the Southeastern United States, leaving a trail of devastation to be followed by a recovery period that will last months, and, in some places, even years. The purpose of the current study was to analyze the extent to which online posts in response to a well ...
Noah F. Britt, Robin M. Kowalski, Cora Dodson   +2 more
wiley   +1 more source

Evaluation of Creative Economy and Tourism Industry Trends based on LDA Analysis with BERTopic

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Creative economy and tourism industry have a role in contributing country's foreign exchange. Efforts continue to be improved by utilizing social media.
Icha Nura Nugraha, Ema Utami
doaj   +1 more source

AI‐Powered Scoring for Creative Thinking: Methods and Challenges in PISA Assessment

The Journal of Creative Behavior, Volume 60, Issue 1, March 2026.
ABSTRACT The introduction of the PISA 2022 Creative Thinking assessment underscores the growing need for scalable, valid, and reliable methods to evaluate creativity in international large‐scale assessments. Traditional human scoring, while nuanced, is time‐consuming, costly, and subject to inconsistencies.
Ricardo Primi, Roger E. Beaty, Mathias Benedek, Denis Dumas, Peter Organisciak, John D. Patterson, Tiago Calico, Mario Piacentini   +7 more
wiley   +1 more source