Title
Analiza strukture kolekcije pravnih dokumenata na osnovu njihove povezanosti preko određenih jezičkih izraza
Creator
Petrović, Đorđe, 1970-
Copyright date
2020
Object Links
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 01.09.2020.
Other responsibilities
mentor
Stojković, Suzana 1966-
član komisije
Stanković, Milena
član komisije
Janković, Dragan
član komisije
Bogdanović, Miloš
član komisije
Ivanović, Mirjana
Academic Expertise
Prirodno-matematičke nauke
Academic Title
-
University
Univerzitet u Nišu
Faculty
Elektronski fakultet
Group
Katedra za računarstvo
Alternative title
Analysis of the structure of collections of legal documents, based on their connection through certain linguistic forms
Publisher
[}. К. Petrović]
Format
[6], 151 list
description
Biografija autora: list 148;
Bibliografija: list. 112-118.
description
Text mining, Natural language processing, Information extraction
Abstract (en)
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.
Authors Key words
istraživanje jezičkih izraza, istraživanje pravnih dokumenata,
istraživanje teksta, izvlačenje informacija, obrada prirodnog
jezika, analiza linkova
Authors Key words
linguistic forms mining, legal documents mining, text mining,
information extraction, natural language processing, link analysis
Classification
004.8:(81'42+34)(043.3)
Subject
P170, P176
Type
Tekst
Abstract (en)
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.
“Data exchange” service offers individual users metadata transfer in several different formats. Citation formats are offered for transfers in texts as for the transfer into internet pages. Citation formats include permanent links that guarantee access to cited sources. For use are commonly structured metadata schemes : Dublin Core xml and ETUB-MS xml, local adaptation of international ETD-MS scheme intended for use in academic documents.