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Wyświetlanie 1-2 z 2
Tytuł:
Extracting Features from the On-Line News for Making Templates Used in the Process of Educating the Next Generation of Politicians
Autorzy:
Cioca, Marius
Cioca, Lucian-Ionel
Cioranu, Cosmin
Gifu, Daniela
Powiązania:
https://bibliotekanauki.pl/articles/26184545.pdf
Data publikacji:
2013-06-30
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
text classification
analysis
open source
political domain
Opis:
This paper presents an application for extracting features used in the process of education of politicians based on Open Source technologies, for extracting features from the public press; it enables the user to analyze data from text files and from the Internet. The analyzed data are from the field of politics, a topic which is both a current one and a cyclic process, occurring every four years for the parliamentary elections and every five years for the presidential elections. A specific political vocabulary was compiled for feature identification and analysis and for the interpretation of results obtained.
Źródło:
The New Educational Review; 2013, 32; 275-287
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Governance in Peer Production Communities: the Case of Debian Project Leader Elections
Autorzy:
Rogiński, Mikołaj
Powiązania:
https://bibliotekanauki.pl/articles/22858339.pdf
Data publikacji:
2023-06-28
Wydawca:
Polskie Towarzystwo Socjologiczne
Tematy:
text mining
virtual community
quantitative approach
management practices
FLOSS (free/libre and open source software)
commons-based peer production
Opis:
The purpose of this article is to explore the Debian Project, which is a peer production organization, and to answer the main research question of what topics were discussed in Project Leader candidates’ program statements. One of the organizational solutions, voting for the Project Leader, was subjected to detailed analysis. According to the usual practice, candidates for the leadership position each publish a program declaration. The study collected all such declarations from 1999–2020 and analyzed them using quantitative text analysis methods. As a result, it was possible to define the most important topics appearing in the declarations, and to track changes in their proportions over time. It was found that management has always been an important topic for candidates. In turn, analysis using Structural Topic Modeling showed at a detailed level which sub-topics related to management were discussed, and how their share changed over time.
Źródło:
Polish Sociological Review; 2023, 222, 2; 263-282
1231-1413
2657-4276
Pojawia się w:
Polish Sociological Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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