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Software Framework for Scalable Topic Modelling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00051934" target="_blank" >RIV/00216224:14330/10:00051934 - isvavai.cz</a>

  • Result on the web

    <a href="http://nlp.fi.muni.cz/projekty/eudml/gensim/" target="_blank" >http://nlp.fi.muni.cz/projekty/eudml/gensim/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Software Framework for Scalable Topic Modelling

  • Original language 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 itworks "on-line", 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.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LA09016" target="_blank" >LA09016: Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    gensim

  • Technical parameters

    Petr Sojka, FI MU Brno, Botanická 68a, 60200 Brno, CZ, tel. +420549496966

  • Economical parameters

    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,...

  • Owner IČO

    00216224

  • Owner name

    Masarykova univerzita