Automatic Keyphrase Extraction based on NLP and Statistical Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898625" target="_blank" >RIV/49777513:23520/11:43898625 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Keyphrase Extraction based on NLP and Statistical Methods
Original language description
In this article we would like to present our experimental approach to automatic keyphrases extraction based on statistical methods and Wordnet-based pattern evaluation. Automatic keyphrases are important for automatic tagging and clustering because manually assigned keyphrases are not sufficient in most cases. Keyphrase candidates are extracted in a new way derived from a combination of graph methods (TextRank) and statistical methods (TF*IDF).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DATESO 2011
ISBN
978-80-248-2391-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
140-145
Publisher name
VŠB Ostrava
Place of publication
Ostrava
Event location
Písek
Event date
Apr 20, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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