Integrating multimodal data and machine learning for entrepreneurship research
Strategic 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
Advanced topic modeling with large language models: analyzing social media content from dementia caregivers. [PDF]
Innov AgingHe W +10 more
europepmc +1 more source
Semantic Web Technologies and Social Searching for Librarians
, 2012 Robin Fay, Michael P. Sauers
openalex +1 more source
PREDOSE: A semantic web platform for drug abuse epidemiology using social media
, 2013 Delroy Cameron +9 more
openalex +1 more source
Simulating information creation in social Semantic Web applications [PDF]
, 2010 Xixi Luo +3 more
openalex +1 more source
The use of LLMs to annotate data in management research: Foundational guidelines and warnings
Strategic Management Journal, EarlyView.Abstract Research Summary The emergence of large language models (LLMs) offers new opportunities for AI integration in research, particularly for data annotation and text classification. However, researchers lack guidance on implementation best practices, as the benefits and risks of these tools remain poorly understood.
Natalie A. Carlson, Vanessa Burbano
wiley +1 more source
Pretrained language models for semantics-aware data harmonisation of observational clinical studies in the era of big data. [PDF]
BMC Med Inform Decis MakDylag JJ, Zlatev Z, Boniface M.
europepmc +1 more source
A Survey of Semantic Metadata Management Models for the Social Web
, 2009 Johann Stan, Pierre Maret
openalex +1 more source
Social and Semantic Web Technologies for the Text-to-Knowledge Translation Process in Biomedicine
, 2011 Carlos Cano +3 more
openalex +2 more sources