Results 171 to 180 of about 121,464 (302)

Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review

open access: yesSustainable Development, EarlyView.
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

Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings

open access: yesFrontiers in Psychology, 2015
Kamil Konrad Imbir   +3 more
doaj   +1 more source

Semantic satiation revisited with a lexical decision task [PDF]

open access: bronze, 1978
Lee S. Cohene   +2 more
openalex   +1 more source

Ontologies for Sustainability: Theoretical Challenges

open access: yesSustainable Development, EarlyView.
ABSTRACT The lack of sustainable practices in key sectors of human societies is a global concern, posing threats for the whole planet. This paper provides the first review of ontologies for sustainability efforts, outlining their roles in assessing and advancing such efforts. Section 2 outlines three major challenges associated with sustainability: (1)
Giorgio A. Ubbiali   +2 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic Entrepreneurship Journal, EarlyView.
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

A new organizational structure database: Examining structure through top management team compositions

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary Studies using archival organizational structure data are not as prevalent as one might expect for such a critical strategy topic. We seek to facilitate more studies in this domain by introducing a novel, hand‐collected dataset of top management team compositions of S&P 500 firms between 1993 and 2020.
Daniel Albert, John C. Eklund, Lisa Tang
wiley   +1 more source

Home - About - Disclaimer - Privacy