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Modelling the Semantic Relations Within Texts Using the UD NLP Tools for Syntactic Parsing, Neo4j Graph Database for Storing and igraph for Network Analysis (CROSBI ID 699359)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Perak, Benedikt Modelling the Semantic Relations Within Texts Using the UD NLP Tools for Syntactic Parsing, Neo4j Graph Database for Storing and igraph for Network Analysis // Graph Technologies in the Humanities 2020. Beč, 2020. str. ---

Podaci o odgovornosti

Perak, Benedikt

engleski

Modelling the Semantic Relations Within Texts Using the UD NLP Tools for Syntactic Parsing, Neo4j Graph Database for Storing and igraph for Network Analysis

The paper deals with the application of the graph technologies for analysis of the Parliamentary data using NLP tools, graph database and network algorithms. It describes the structure of a morpho-syntactically tagged corpora embedding in a knowledge graph property database that can be used to explore corpus specific semantic relations for various type of empirical analysis of the communication, conceptualization and framing of the social identities, interactions, institutions and cultural models within a Parliamentary data domain. As a case study, the paper demonstrates the corpus, stylometric and semantic analysis of the Croatian Parliament debates, covering sessions from the year 2003– 2017.

parliament, graph analysis, corpus, graph algorithms, graph database

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Podaci o prilogu

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2020.

objavljeno

Podaci o matičnoj publikaciji

Graph Technologies in the Humanities 2020

Beč:

Podaci o skupu

Graph Technologies in the Digital Humanities: Modelling the Scholarly Process

predavanje

21.02.2020-22.02.2020

Beč, Austrija

Povezanost rada

Filologija, Informacijske i komunikacijske znanosti, Interdisciplinarne humanističke znanosti, Politologija