Empirical Evaluation of Explainability of Topic Modelling and Clustering Visualizations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F19%3A00054290" target="_blank" >RIV/61384399:31140/19:00054290 - isvavai.cz</a>
Result on the web
<a href="https://hi.kkui.fei.tuke.sk/daz2019/DaZ_WIKT_2019_Zbornik.pdf" target="_blank" >https://hi.kkui.fei.tuke.sk/daz2019/DaZ_WIKT_2019_Zbornik.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Empirical Evaluation of Explainability of Topic Modelling and Clustering Visualizations
Original language description
Main topics of the document: topic modeling; clustering; explainability; machine learning; crowdsourcing; disinformation; fake news
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Data a znalosti & WIKT 2019
ISBN
978-80-553-3354-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
82-86
Publisher name
Fakulta elektrotechniky a informatiky, Technická univerzita v Košicích
Place of publication
Košice
Event location
Košice
Event date
Oct 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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