Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA

Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics, therapeutics, and regenerative medicine. This study aims to develop a novel framework that integrates advanced natural language processing, noise-free topic modeling, and multidimen...

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Main Authors: Wang Yifan, Liu Xiaoping, Zhu Xiang-Li
Format: Article
Language:English
Published: Sciendo 2024-11-01
Series:Journal of Data and Information Science
Subjects:
Online Access:https://doi.org/10.2478/jdis-2024-0031
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author Wang Yifan
Liu Xiaoping
Zhu Xiang-Li
author_facet Wang Yifan
Liu Xiaoping
Zhu Xiang-Li
author_sort Wang Yifan
collection DOAJ
description Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics, therapeutics, and regenerative medicine. This study aims to develop a novel framework that integrates advanced natural language processing, noise-free topic modeling, and multidimensional bibliometrics to systematically identify emerging nanomedicine technology topics from scientific literature.
format Article
id doaj-art-8b058e0e100945dcab2f80a0343c9ff2
institution DOAJ
issn 2543-683X
language English
publishDate 2024-11-01
publisher Sciendo
record_format Article
series Journal of Data and Information Science
spelling doaj-art-8b058e0e100945dcab2f80a0343c9ff22025-08-20T02:49:46ZengSciendoJournal of Data and Information Science2543-683X2024-11-019415519510.2478/jdis-2024-0031Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDAWang Yifan0Liu Xiaoping1Zhu Xiang-Li22Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, P.R. China1National Science Library, Chinese Academy of Sciences, Beijing100190, P.R. China1National Science Library, Chinese Academy of Sciences, Beijing100190, P.R. ChinaNanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics, therapeutics, and regenerative medicine. This study aims to develop a novel framework that integrates advanced natural language processing, noise-free topic modeling, and multidimensional bibliometrics to systematically identify emerging nanomedicine technology topics from scientific literature.https://doi.org/10.2478/jdis-2024-0031bibliometricsnanomedicineemerging technologiesberttopic modeling
spellingShingle Wang Yifan
Liu Xiaoping
Zhu Xiang-Li
Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA
Journal of Data and Information Science
bibliometrics
nanomedicine
emerging technologies
bert
topic modeling
title Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA
title_full Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA
title_fullStr Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA
title_full_unstemmed Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA
title_short Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA
title_sort enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using bert and nlda
topic bibliometrics
nanomedicine
emerging technologies
bert
topic modeling
url https://doi.org/10.2478/jdis-2024-0031
work_keys_str_mv AT wangyifan enhancingemergingtechnologydiscoveryinnanomedicinebyintegratinginnovativesentencesusingbertandnlda
AT liuxiaoping enhancingemergingtechnologydiscoveryinnanomedicinebyintegratinginnovativesentencesusingbertandnlda
AT zhuxiangli enhancingemergingtechnologydiscoveryinnanomedicinebyintegratinginnovativesentencesusingbertandnlda