Results 91 to 100 of about 34,920 (220)

How Stock Market Participants Use Generative Artificial Intelligence: Evidence from User‐Platform Interaction Data

Journal of Accounting Research, EarlyView.
ABSTRACT This paper provides descriptive evidence on how stock market participants use Generative Artificial Intelligence (GenAI) to process investment‐related information. Using a data set of 1.7 million stock‐related queries from one of China's largest GenAI platforms during the first half of 2024, we document that user queries address a wide range ...
FRANK ECKER, XITONG LI, YILAN LI, FAN WU
wiley   +1 more source

Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Topic modeling has become a fundamental technique for uncovering latent thematic structures within large collections of textual data. However, conventional models often struggle to capture the burstiness of topics.
Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila   +2 more
doaj   +1 more source

Mitigating Disability Bias in Hiring: The Role of Inclusion‐Focused Generative AI in Complex HR Decisions

Human Resource Management Journal, EarlyView.
ABSTRACT This research investigates how inclusion‐focused generative AI (GAI), designed with diversity, fairness, and inclusion principles, mitigates disability bias in hiring—particularly under complex, cognitively demanding conditions. Drawing on Construal Level Theory, two experiments with HR professionals (N = 117; 238) compared standard, inclusion‐
Miles M. Yang
wiley   +1 more source

Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors

NeuroImage: Clinical, 2018
The clinical presentation of Alzheimer's disease (AD) is not unitary as heterogeneity exists in the disease's clinical and anatomical characteristics. MRI studies have revealed that heterogeneous gray matter atrophy patterns are associated with specific ...
Xiuchao Sui, Jagath C. Rajapakse
doaj   +1 more source

Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants

, 2012
Understanding the adaptation process of plants to drought stress is essential in improving management practices, breeding strategies as well as engineering viable crops for a sustainable agriculture in the coming decades.
Ballvora, Agim, Bauckhage, Christian, Kersting, Kristian, Leon, Jens, Pinto, Francisco, Ploemer, Lutz, Rascher, Uwe, Roemer, Christoph, Wahabzada, Mirwaes   +8 more
core  

Audit Quality From a Service Perspective: A Systematic Literature Review

Accounting Perspectives, EarlyView.
ABSTRACT Audit quality is a multidimensional and latent construct that researchers struggle to evaluate and interpret. This paper follows an interdisciplinary approach by systematically reviewing the literature on audit quality evaluation from a service quality perspective.
Lise Muriel Botha, Phillip de Jager, Francois Toerien, Ezelda Swanepoel   +3 more
wiley   +1 more source

Author Identification Using Latent Dirichlet Allocation

, 2018
We tackle the task of author identification at PAN 2015 through a Latent Dirichlet Allocation (LDA) model. By using this method, we take into account the vocabulary and context of words at the same time, and after a statistical process find to what extent the relations between words are given in each document; processing a set of documents by LDA ...
Calvo, Hiram, Hernández-Castañeda, Ángel, Flores, Jorge   +2 more
openaire   +2 more sources

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

Analisis Sentimen Multi-Aspek terhadap Ulasan Pengguna Aplikasi M-Pajak Menggunakan Model IndoBERT

Techno.Com
Aplikasi M-Pajak menghadapi tantangan dalam evaluasi layanan akibat banyaknya ulasan tidak terstruktur. Penelitian ini bertujuan untuk menganalisis sentimen multi-aspek menggunakan model Deep Learning berbasis arsitektur IndoBERT yang dioptimalkan dengan
Hansen Utomo Gunawan, Fergie Joanda Kaunang   +1 more
doaj   +1 more source

Analysing Higher Education Institutions' Role in Sustainable Development Goals: A Systematic Literature Review Analysis and Future Directions

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This paper examines the current state of the art regarding the contribution of Higher Education Institutions (HEIs) to the achievement of the Sustainable Development Goals (SDGs). We conducted a Systematic Literature Review Analysis (SLRA), which integrates a traditional Systematic Literature Review (SLR) with Bibliographic Analysis (BA), on a
Pasquale Latella, Stefania Veltri
wiley   +1 more source