Czech presidential inaugural addresses in 2013-18: a natural language processing analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3APD4YKTBU" target="_blank" >RIV/00216208:11320/23:PD4YKTBU - isvavai.cz</a>
Alternative codes found
RIV/61384399:31140/23:00059239
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171343046&partnerID=40&md5=82052cfb568b431ce122c7c5b16c5936" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171343046&partnerID=40&md5=82052cfb568b431ce122c7c5b16c5936</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Czech presidential inaugural addresses in 2013-18: a natural language processing analysis
Original language description
"This paper addresses the formal analysis using natural language processing techniques of the two presidential inaugural speeches given by the recent president, the first Czech president elected directly by the public. The tokenization, lemmatization, identification of the parts of speech and frequency analysis of words and co-occurrences by parts of speech types is among the techniques used for the analysis. The results show that the co-occurences found by NLP could be used for automated keywords identification in this case. © Proceedings of the 15th International Conference on Strategic Management and its Support by Information Systems, SMSIS 2023."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"Proc. Int. Conf. Strateg. Manag. Support Inf. Syst., SMSIS"
ISBN
978-802484687-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
185-191
Publisher name
VSB-Technical University of Ostrava
Place of publication
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Event location
Cham
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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