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Use of linguistic forms mining in the link analysis of legal documents

Authors: Petrović Đorđe; Stanković Milena;

Use of linguistic forms mining in the link analysis of legal documents

Abstract

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, as the second part of this paper shows, 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.

Country
Serbia
Related Organizations
Keywords

legal documents mining, linguistic forms mining, text mining, information extraction, natural language processing, link analysis

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Digital Humanities and Cultural Heritage
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