Results 21 to 30 of about 716,263 (297)
Text Mining in Biomedical Domain with Emphasis on Document Clustering [PDF]
Healthcare Informatics Research, 2017 ObjectivesWith the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published.
Vinaitheerthan Renganathan
doaj +1 more source
Topic Map Generation Using Text Mining [PDF]
, 2002 Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool.
Böhm, Karsten +3 more
core +2 more sources
ACR Open Rheumatology, 2021 Objective Electronic health records (EHR) are increasingly being recognized as a major source of data reusable for medical research and quality monitoring, although patient identification and assessment of symptoms (characterization) remain challenging ...
Tammo E. Brunekreef +6 more
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Large-scale event extraction from literature with multi-level gene normalization [PDF]
, 2013 Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts.
Ananiadou, Sophia +10 more
core +3 more sources
Comprehensive review of text-mining applications in finance
Financial Innovation, 2020 Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance.
Aaryan Gupta +3 more
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Text Mining for Supply Chain Risk Management in the Apparel Industry
Applied Sciences, 2021 Text mining tools are now widely used for the efficient management of information and resources in business, academic and research organizations.
Sayed Mehdi Shah +2 more
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Wellcome Open Research, 2017 The tremendous growth in biological data has resulted in an increase in the number of research papers being published. This presents a great challenge for scientists in searching and assimilating facts described in those papers.
Aravind Venkatesan +9 more
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Applications of text mining in services management: A systematic literature review
International Journal of Information Management Data Insights, 2021 The importance of text mining is increasing in services management as the access to big data is increasing across digital platforms enabling such services.
Sunil Kumar +2 more
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Systematic Reviews, 2019 Background Here, we outline a method of applying existing machine learning (ML) approaches to aid citation screening in an on-going broad and shallow systematic review of preclinical animal studies.
Alexandra Bannach-Brown +6 more
doaj +1 more source
Improving Laboratories Efficiency through Website Using Text Mining [PDF]
Engineering and Technology Journal, 2013 Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis.
Abeer Tariq
doaj +1 more source