
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:language>srp</dc:language>
  <dc:title xml:lang="srp">Analiza strukture kolekcije pravnih dokumenata na osnovu njihove povezanosti preko određenih jezičkih izraza</dc:title>
  <dc:format>[6], 151 list</dc:format>
  <dc:format>3057553 bytes</dc:format>
  <dc:contributor>Stojković, Suzana 1966-</dc:contributor>
  <dc:contributor>Stanković, Milena</dc:contributor>
  <dc:contributor>Janković, Dragan</dc:contributor>
  <dc:contributor>Bogdanović, Miloš</dc:contributor>
  <dc:contributor>Ivanović, Mirjana</dc:contributor>
  <dc:date>2020</dc:date>
  <dc:description xml:lang="eng">This document employs a statistical approach in exploring language
and extracting linguistic forms there contained, so as to identify the
linguistic forms which are most frequently used in legal documents.
Thus retrieved data can be used to research information, analyze
references and links, trace pathways between correlating legal
documents and establish the relevance of legal documents on the
grounds of their mutual correlation. The retrieved data can further be
utilized in various other manners. The methodology of this research
and thus attained information form a good basis and act as input data
for numerous further analyses.</dc:description>
  <dc:description xml:lang="srp">Biografija autora: list 148;Bibliografija: list. 112-118.  Datum odbrane: 01.09.2020. Text mining, Natural language processing, Information extraction</dc:description>
  <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
  <dc:rights>All rights reserved</dc:rights>
  <dc:identifier>https://phaidrani.ni.ac.rs/o:1674</dc:identifier>
  <dc:identifier>cobiss:21834761</dc:identifier>
  <dc:identifier>thesis:7841</dc:identifier>
  <dc:creator>Petrović, Đorđe, 1970-</dc:creator>
</oai_dc:dc>
