A comprehensive natural language processing analysis reveals that medical artificial intelligence literature significantly prioritizes fairness, accountability, and privacy while leaving ...
A systematic computational mapping review of nearly seven thousand indexed publications reveals emerging attention to food processing alongside persistent concentration ...
A systematic review and topic modeling study of 160 publications identified three primary clusters spanning cognitive care, motor rehabilitation, and ...
An analysis of 273 climate-oriented agricultural research reports found that while social capital dimensions appeared in 45.4 percent of documents, ...
An evaluation of machine learning topic modeling in the Warnow Estuary reveals that matrix factorization effectively tracks seasonal microbial sub-communities ...
Researchers have introduced an on-demand data augmentation framework that identifies sparse multi-dimensional intervals and topics to generate realistic synthetic samples ...
A comprehensive computational investigation analyzing 5,961 peer-reviewed articles published between 1988 and 2024 has uncovered major structural shifts across thirty-six ...
A new commentary shows that Latent Dirichlet Allocation, a natural language processing technique, can extract major themes from classical political ...
Researchers applied sentiment analysis and topic modeling to survey responses from 378 computer science students at 18 institutions in the ...
A scientometric and text-mining analysis of 2,254 Scopus-indexed IGNOU publications identifies six research themes and finds citation impact varies sharply ...
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