Clustering of Words from Czech Written Documents Using GHSOM

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504092" target="_blank" >RIV/49777513:23520/10:00504092 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Clustering of Words from Czech Written Documents Using GHSOM
Original language description
The paper focuses on possibilities of improving categorization of words from input collection of Czech written documents into syntactic categories using the Growing Hierarchical Self-Organizing Map (GHSOM). Clustering on two document collections is presented; results of GHSOM and WEBSOM are compared. The modified GHSOM is introduced.
Czech name
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Czech description
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Project
<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2010 second WRI global congress on intelligent systems. Vol. 3
ISBN
978-0-7695-4304-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
150-153
Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Wuhan, Čína
Event date
Dec 16, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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