Results 31 to 40 of about 40,310,090 (289)
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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A text-mining system for extracting metabolic reactions from full-text articles [PDF]
, 2012 Background: Increasingly biological text mining research is focusing on the extraction of complex relationships relevant to the construction and curation of biological networks and pathways. However, one important category of pathway—metabolic pathways—
Czarnecki, Jan M. +12 more
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
BMC Medical Informatics and Decision Making, 2019 Background Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Yifei Wang +2 more
doaj +1 more source
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
Annotation and detection of drug effects in text for pharmacovigilance
Journal of Cheminformatics, 2018 Pharmacovigilance (PV) databases record the benefits and risks of different drugs, as a means to ensure their safe and effective use. Creating and maintaining such resources can be complex, since a particular medication may have divergent effects in ...
Paul Thompson +5 more
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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Improving reference prioritisation with PICO recognition
BMC Medical Informatics and Decision Making, 2019 Background Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, which include ...
Austin J. Brockmeier +3 more
doaj +1 more source
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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Procedia Computer Science, 2020 Abstract This document describes the behavior of the production of academic papers and high circulation newspapers, published under the terms “Coronavirus, Covid-19 or SARS-CoV-2”. The purpose of this paper is to employ text mining techniques and qualitative data analysis for pattern identification (Dobrzynski, Dziekonski, Krzysztof, & Jurczuk, 2013;
Cristian O. Beltrán-Oicatá +3 more
openaire +1 more source
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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