Review of Latent Dirichlet Allocation Methods Usable in Voice of Customer Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F18%3A00053215" target="_blank" >RIV/61384399:31140/18:00053215 - isvavai.cz</a>
Result on the web
<a href="https://aip.vse.cz/artkey/aip-201802-0002_review-of-latent-dirichlet-allocation-methods-usable-in-voice-of-customer-analysis.php" target="_blank" >https://aip.vse.cz/artkey/aip-201802-0002_review-of-latent-dirichlet-allocation-methods-usable-in-voice-of-customer-analysis.php</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18267/j.aip.120" target="_blank" >10.18267/j.aip.120</a>
Alternative languages
Result language
angličtina
Original language name
Review of Latent Dirichlet Allocation Methods Usable in Voice of Customer Analysis
Original language description
Main topics of the document: aspect detection; LDA; sentiment; text analytics; topic models; VoC
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50602 - Public administration
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Informatica Pragensia
ISSN
1805-4951
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
14
Pages from-to
152-165
UT code for WoS article
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EID of the result in the Scopus database
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