<?xml version='1.0' encoding='utf-8'?>
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<creators>
<creator>
<creatorName>Petic, M.V.</creatorName>
<affiliation>Universitatea de Stat „Alecu Russo” din Bălţi, Moldova, Republica</affiliation>
</creator>
<creator>
<creatorName>Cozlov, V.</creatorName>
<affiliation>Institutul de Matematică şi Informatică al AŞM, Moldova, Republica</affiliation>
</creator>
</creators>
<titles>
<title xml:lang='en'>Determining emotional classifiers for social disasters text clustering</title>
</titles>
<publisher>Instrumentul Bibliometric National</publisher>
<publicationYear>2017</publicationYear>
<relatedIdentifier relatedIdentifierType='ISBN' relationType='IsPartOf'>978‐9975‐4237‐6‐2</relatedIdentifier>
<subjects>
<subject>computational linguistic resources</subject>
<subject>linguistic
classifier</subject>
</subjects>
<dates>
<date dateType='Issued'>2017</date>
</dates>
<resourceType resourceTypeGeneral='Text'>Conference Paper</resourceType>
<descriptions>
<description xml:lang='en' descriptionType='Abstract'><p>In this study, we describe a tool set that includes methods for extracting relevant texts from the networks. The article describes a research of a methodology of Web crawler development. The experiment is done on a news site noi.md which is both Romanian and Russian language. The way of enriching existent classifier list is described.</p></description>
</descriptions>
<formats>
<format>application/pdf</format>
</formats>
</resource>