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<creators>
<creator>
<creatorName>Cojocaru, S.C.</creatorName>
<affiliation>Institutul de Matematică şi Informatică al AŞM, Moldova, Republica</affiliation>
</creator>
<creator>
<creatorName>Petic, M.V.</creatorName>
<affiliation>Institutul de Matematică şi Informatică al AŞM, Moldova, Republica</affiliation>
</creator>
<creator>
<creatorName>Horoş, G.A.</creatorName>
<affiliation>Institutul de Matematică şi Informatică al AŞM, Moldova, Republica</affiliation>
</creator>
</creators>
<titles>
<title xml:lang='en'>Tools for Texts Monitoring and Analysis Aimed
at the Field of Social Disasters, Catastrophes, and Terrorism</title>
</titles>
<publisher>Instrumentul Bibliometric National</publisher>
<publicationYear>2016</publicationYear>
<relatedIdentifier relatedIdentifierType='ISSN' relationType='IsPartOf'>1561-4042</relatedIdentifier>
<subjects>
<subject>computational linguistic resources</subject>
<subject>linguistic
markers.</subject>
<subject schemeURI='http://udcdata.info/' subjectScheme='UDC'>004.8+81'322</subject>
</subjects>
<dates>
<date dateType='Issued'>2016-08-25</date>
</dates>
<resourceType resourceTypeGeneral='Text'>Journal article</resourceType>
<descriptions>
<description xml:lang='en' descriptionType='Abstract'>Throughout its life mankind faces various disasters and catastrophes: natural, technogenic, social. One of the important sources of information for these situations is the huge volume of unstructured data available in the global information networks. In this study, we describe a tool set that includes methods for extracting relevant texts from the networks, their classification and analysis. Two stages are described: preparatory and processing. The first one deals with patterns (texts and keywords) creation, during the second phase news texts are processed using database and controlled vocabulary</description>
</descriptions>
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<format>application/pdf</format>
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