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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F10%3A00051934%21RIV12-MSM-14330___
rdf:type
skos:Concept n20:Vysledek
rdfs:seeAlso
http://nlp.fi.muni.cz/projekty/eudml/gensim/
dcterms:description
Semantic-based text processing is a must in today's large-scale digital libraries and in web-scale search as Google does. Gensim implements semantic similarity computation of documents irrespectively of the size of text corpora -- it is unique because it works %22on-line%22, e.g. new documents can be fed to it without recomputation of the whole similarity matrix, which opens new horizons of its usage. Gensim is award-winning robust scalable software framework for topic modelling and similarity in text documents. It is used in the production of DML-CZ, EuDML, LarKC projects and has been also used for teaching at several universities. Awarded by Scopus awards - Česká naděje: http://suweco.cz:8080/awards/oceneny.aspx?idrok=2011 . Theoretical basis for software implementation has been published in several peer reviewed publications as: [1] Řehůřek, R.; Sojka, P. Software Framework for Topic Modelling with Large Corpora. In Proc. of LREC 2010 workshop New Challenges for NLP Frameworks. Semantic-based text processing is a must in today's large-scale digital libraries and in web-scale search as Google does. Gensim implements semantic similarity computation of documents irrespectively of the size of text corpora -- it is unique because it works %22on-line%22, e.g. new documents can be fed to it without recomputation of the whole similarity matrix, which opens new horizons of its usage. Gensim is award-winning robust scalable software framework for topic modelling and similarity in text documents. It is used in the production of DML-CZ, EuDML, LarKC projects and has been also used for teaching at several universities. Awarded by Scopus awards - Česká naděje: http://suweco.cz:8080/awards/oceneny.aspx?idrok=2011 . Theoretical basis for software implementation has been published in several peer reviewed publications as: [1] Řehůřek, R.; Sojka, P. Software Framework for Topic Modelling with Large Corpora. In Proc. of LREC 2010 workshop New Challenges for NLP Frameworks.
dcterms:title
Software Framework for Scalable Topic Modelling Software Framework for Scalable Topic Modelling
skos:prefLabel
Software Framework for Scalable Topic Modelling Software Framework for Scalable Topic Modelling
skos:notation
RIV/00216224:14330/10:00051934!RIV12-MSM-14330___
n3:aktivita
n17:P
n3:aktivity
P(LA09016)
n3:dodaniDat
n5:2012
n3:domaciTvurceVysledku
n11:7883927 n11:3548988
n3:druhVysledku
n18:R
n3:duvernostUdaju
n4:S
n3:ekonomickeParametry
Open-source licence (bez poplatků); výrazně urychluje lokalizaci podobných publikací v digitálních knihovnách na základě _sémantické_ podobnosti a tím šetří člověkoroky práce. Použito již v cca desítce projektů jako DML-CZ, NUMDAM, LarKC, EuDML,...
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
288275
n3:idVysledku
RIV/00216224:14330/10:00051934
n3:interniIdentifikace
gensim
n3:jazykVysledku
n12:eng
n3:klicovaSlova
topic modelling; similarity; data exploration; digital libraries; gensim; software framework
n3:klicoveSlovo
n7:gensim n7:similarity n7:software%20framework n7:topic%20modelling n7:data%20exploration n7:digital%20libraries
n3:kontrolniKodProRIV
[A54B4AEAE220]
n3:licencniPoplatek
n19:N
n3:lokalizaceVysledku
http://nlp.fi.muni.cz/projekty/eudml/gensim/index.html
n3:obor
n10:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n8:LA09016
n3:rokUplatneniVysledku
n5:2010
n3:technickeParametry
Petr Sojka, FI MU Brno, Botanická 68a, 60200 Brno, CZ, tel. +420549496966
n3:tvurceVysledku
Řehůřek, Radim Sojka, Petr
n3:vlastnik
n13:vlastnikVysledku
n3:vyuzitiJinymSubjektem
n9:A
n16:organizacniJednotka
14330