TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F20%3A00055435" target="_blank" >RIV/61384399:31140/20:00055435 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s12559-019-09706-3" target="_blank" >https://link.springer.com/article/10.1007/s12559-019-09706-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12559-019-09706-3" target="_blank" >10.1007/s12559-019-09706-3</a>
Alternative languages
Result language
angličtina
Original language name
TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique
Original language description
Main topics of the document: unsupervised machine learning; automatic keyphrase extraction; document processing; recommender system; binary tree
Czech name
—
Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Cognitive Computation
ISSN
1866-9956
e-ISSN
1866-9964
Volume of the periodical
—
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
23
Pages from-to
811-833
UT code for WoS article
000552203600008
EID of the result in the Scopus database
2-s2.0-85081544312