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
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