Results 21 to 30 of about 140,502 (288)
Adaptive text mining: Inferring structure from sequences [PDF]
, 2004 Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
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A day in the life of a content miner and team
Insights: The UKSG Journal, 2016 It’s tough for Peter getting out of bed today – yesterday he travelled to Brussels and back, fighting for ‘The Right to Read is the Right to Mine’ (R2RR2M). Content mining – also known as text and data mining (TDM) – is a hot topic in Europe.
Tom Arrow +2 more
doaj +1 more source
Weka: A machine learning workbench for data mining [PDF]
, 2005 The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data preprocessing tools. The basic way of interacting with these methods is by invoking them from the command line.
Pfahringer, Bernhard +5 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
doaj +1 more source
Il diritto di Text and Data Mining (TDM) non esiste
Rivista Italiana di Informatica e Diritto, 2023 L’a. analizza le disposizioni della direttiva copyright nel mercato unico digitale (direttiva (UE) 2019/790: CDSMD) relative alla c.d. eccezione di Text and Data Mining al fine di stabilire se per consentire le attività tecniche implicate dalle ...
Salvatore Orlando
doaj +1 more source
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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Text Analytics for Android Project [PDF]
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Jackute, Ieva +9 more
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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
Robust Benchmark for Propagandist Text Detection and Mining High-Quality Data
Mathematics, 2023 Social media, fake news, and different propaganda strategies have all contributed to an increase in misinformation online during the past ten years. As a result of the scarcity of high-quality data, the present datasets cannot be used to train a deep ...
Pir Noman Ahmad +4 more
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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 +9 more
core +5 more sources