Analysis of Formal Characteristics of Text in the CPACT Research: Enhancing the LIWC Linguistic Processing for the Czech Language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12410%2F19%3A43899787" target="_blank" >RIV/60076658:12410/19:43899787 - isvavai.cz</a>

Výsledek na webu

<a href="https://jarssh.com/papers/volume4-issue2/JARSSH-04-2019-0203.pdf" target="_blank" >https://jarssh.com/papers/volume4-issue2/JARSSH-04-2019-0203.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.26500/JARSSH-04-2019-0203" target="_blank" >10.26500/JARSSH-04-2019-0203</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Formal Characteristics of Text in the CPACT Research: Enhancing the LIWC Linguistic Processing for the Czech Language

Popis výsledku v původním jazyce

The paper deals with the use of quantitative text analysis for the processing of Czech verbal communication within psycholinguistic and psychodiagnostic disciplines and description of the process. It focuses on the application of a computer-assisted linguistic procedures, which aims to classify and quantify formal characteristics (e.g. morphology, semantics etc.) of recorded texts. These systems analyze vast amounts of content data and it also facilitates the comparison of the results with other data, e.g. with information about the communicators, such as their personality characteristics (personality traits, motivation etc.). These methods are employed within the CPACT research (Computational Psycholinguistic Analysis of Czech Text), which is carried out from 2016 at the University of South Bohemia in Ceske Budejovice, Czech Republic (EU), and which aims to enrich the current state of knowledge of the psycholinguistic analysis of texts and using advanced procedures for the Czech language processing. The paper describes relevant aspects of its methodology, the theory and the quantitative analysis specifics.

Název v anglickém jazyce

Analysis of Formal Characteristics of Text in the CPACT Research: Enhancing the LIWC Linguistic Processing for the Czech Language

Popis výsledku anglicky

The paper deals with the use of quantitative text analysis for the processing of Czech verbal communication within psycholinguistic and psychodiagnostic disciplines and description of the process. It focuses on the application of a computer-assisted linguistic procedures, which aims to classify and quantify formal characteristics (e.g. morphology, semantics etc.) of recorded texts. These systems analyze vast amounts of content data and it also facilitates the comparison of the results with other data, e.g. with information about the communicators, such as their personality characteristics (personality traits, motivation etc.). These methods are employed within the CPACT research (Computational Psycholinguistic Analysis of Czech Text), which is carried out from 2016 at the University of South Bohemia in Ceske Budejovice, Czech Republic (EU), and which aims to enrich the current state of knowledge of the psycholinguistic analysis of texts and using advanced procedures for the Czech language processing. The paper describes relevant aspects of its methodology, the theory and the quantitative analysis specifics.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

50101 - Psychology (including human - machine relations)

Projekt

<a href="/cs/project/GA16-19087S" target="_blank" >GA16-19087S: Komputační psycholingvistická analýza českého textu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Advanced Research in Social Sciences and Humanities

ISSN

2349-2872

e-ISSN

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Svazek periodika

4

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

IN - Indická republika

Počet stran výsledku

9

Strana od-do

57-65

Kód UT WoS článku

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EID výsledku v databázi Scopus

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