Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification

S Rouhani, F Mozaffari - Artificial Intelligence in Medicine, 2024 - Elsevier
COVID-19 vaccine research has played a vital role in successfully controlling the pandemic,
and the research surrounding the coronavirus vaccine is ever-evolving and accruing. These …

A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications

S Raza, B Schwartz, S Lakamana, Y Ge, A Sarker - BMC digital health, 2023 - Springer
Background Substance use, including the non-medical use of prescription medications, is a
global health problem resulting in hundreds of thousands of overdose deaths and other …

[PDF][PDF] A Systematic Literature Review on Topic Modelling and Sentiment Analysis

J Kunsabo, J Dobša - Central European Conference on …, 2022 - researchgate.net
The human need for organization has always existed, but due to the ever-increasing
generation of digital records, it is becoming almost necessary. With the development of …

Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study

X Ye, X Wang, H Lin - Journal of Epidemiology and Global Health, 2024 - Springer
Background The global research on pandemics or epidemics and mental health has been
growing exponentially recently, which cannot be integrated through traditional systematic …

[HTML][HTML] A data-driven conceptual framework for understanding the nature of hazards in railway accidents

WT Hong, G Clifton, JD Nelson - Transport policy, 2024 - Elsevier
Hazards threaten railway safety by their potential to trigger railway accidents, resulting in
significant costs and impacting the public's willingness to use railways. Whilst many prior …

Explaining word embeddings with perfect fidelity: Case study in research impact prediction

L Dvorackova, MP Joachimiak, M Cerny… - arXiv preprint arXiv …, 2024 - arxiv.org
Best performing approaches for scholarly document quality prediction are based on
embedding models, which do not allow direct explanation of classifiers as distinct words no …

疫情信息研究热点及对中国的启示

T Zhaojuan, X Xin - 图书馆杂志, 2023 - libraryjournal.com.cn
在新冠背景下, 疫情信息的存在和变化呈现出许多新特征. 把握疫情信息领域的研究有助于研究
者和管理者更科学精准地开展后续工作. 本文以WoS 核心合集中疫情信息研究为对象 …

Trends and ethical issues in nursing during disasters: A systematic review

YN Fithriyyah, AK Alda, H Haryani - Nursing ethics, 2023 - journals.sagepub.com
Background During a disaster, nurses face complex ethical challenges because of risky
situations. It is necessary to identify trends and ethical issues of nurses in disasters to …

텍스트마이닝을이용한인공지능활용신약개발연구동향분석

남재우, 김영준 - 생명과학회지, 2023 - dbpia.co.kr
본 리뷰 논문은 2010 년부터 2022 년까지의 인공지능을 활용한 신약개발 관련 연구동향을
분석하여 정리하였다. 이러한 분석을 통해 2,421 개 연구의 초록을 코퍼스로 구성하고 …

RecoMap–a semi-automated tool for analysing railway accident recommendations across jurisdictions and over time

WT Hong, G Clifton, JD Nelson - Transportation Planning and …, 2025 - Taylor & Francis
Despite many (sometimes similar) recommendations made by independent railway accident
investigators across jurisdictions, practitioners continue to suffer from a lack of synthesised …