Results 11 to 20 of about 716,263 (297)
Identification of research hypotheses and new knowledge from scientific literature
BMC Medical Informatics and Decision Making, 2018 Background Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative information, known as Meta-Knowledge ...
Matthew Shardlow +5 more
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The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis [PDF]
, 2013 Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of
De Bodt, Stefanie +4 more
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Vickybot, a chatbot for anxiety-depressive symptoms and work-related burnout
European Psychiatry, 2023 Introduction A significant proportion of people attending Primary Care (PC) have anxiety-depressive symptoms and work-related burnout and there is a lack of resources to attend them.
G. Anmella +17 more
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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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Effective pattern discovery for text mining [PDF]
, 2012 Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text
Li, Yuefeng, Wu, Sheng-Tang, Zhong, Ning
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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 ...
Abul Seoud +21 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
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Apellicon: a web-based tool for constructing and curating Textpresso databases. [PDF]
, 2010 As more research literature in the biological sciences is made available in electronic format, text mining systems are increasingly being used to improve the ability of investigators to retrieve relevant information.
Brian G. Condie, William M. Urbanski
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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
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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
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