Results 31 to 40 of about 41,060,851 (256)
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
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OSCAR4: a flexible architecture for chemical text-mining. [PDF]
, 2011 The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002.
David M Jessop +14 more
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Text-mining research in genomics [PDF]
, 2008 Biomedical text-mining have great promise to improve the usefulness of genomic researchers. The goal of text-mining is analyzed large collections of unstructured documents for the purposes of extracting interesting and non-trivial patterns of knowledge ...
Moya-Anegón, Félix, Gálvez, Carmen
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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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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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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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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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The Social, Political and Legal Aspects of Text and Data Mining (TDM) [PDF]
, 2014 The ideas of textual or data mining (TDM) and subsequent analysis go back hundreds if not thousands of years. Originally carried out manually, textual and data analysis has long been a tool which has enabled new insights to be drawn from text corpora ...
Brook, M. +5 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
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