Results 111 to 120 of about 63,472 (294)
Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori +3 more
wiley +1 more source
Identifying Software Complexity Topics with Latent Dirichlet Allocation on Design Patterns [PDF]
The scientific literature has paid limited attention to studying software complexity subjects from the design point of view. There is a significant number of papers that study software complexity in relation with maintenance, refactoring, source code ...
Sabina-Cristiana NECULA +1 more
doaj +1 more source
ABSTRACT This study uses a bibliometric lens to link public policy in renewable energy with its broader employment effects, offering the first comprehensive mapping of this relationship. A total of 760 articles published between 2013 and 2025 were retrieved from the Scopus database on July 10, 2025.
Asif Javed +4 more
wiley +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Local labor market frictions and platform‐based entrepreneurship
Abstract Research Summary Building on prior research about the heterogeneous impact of labor shocks on individuals' propensity to start businesses, we explore how local labor market frictions affect individuals' selection into platform‐based entrepreneurship.
Ruiqing Cao, Yifan Lyu
wiley +1 more source
Topic Modeling Using Latent Dirichlet Allocation (LDA) and Sentiment Analysis for Marketing Planning Tiket.com [PDF]
Berlin Helmi Puspita +2 more
openalex +1 more source
ABSTRACT Many researchers are committed to improving the diagnosis accuracy and solving the few‐shot problem on circuit breakers (CBs). However, the research on the vibration transmission mechanism of the fault is insufficient, which makes it difficult to find the potential design defects of CBs through vibration.
Jiayi Gong +3 more
wiley +1 more source
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
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 +2 more
doaj +1 more source
Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors
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
Abstract In this paper, we present a foray into the computational study of anthropological texts. Drawing on a corpus of approximately 2,500 articles published in the Journal of the Royal Anthropological Institute (formerly Man) from 1950 to 2018, we discuss selected findings from the deployment of two methods for computational text analysis, namely ...
Kristoffer Albris +4 more
wiley +1 more source

