About: Software Framework for Topic Modelling with Large Corpora

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Large corpora are ubiquitous in today's world and memory quickly becomes the limiting factor in practical applications of the Vector Space Model (VSM). We identify gap in existing VSM implementations, which is their scalability and ease of use. We describe a Natural Language Processing software framework which is based on the idea of document streaming, i.e. processing corpora document after document, in a memory independent fashion. In this framework, we implement several popular algorithms for topical inference, including Latent Semantic Analysis and Latent Dirichlet Allocation, in a way that makes them completely independent of the training corpus size. Particular emphasis is placed on straightforward and intuitive framework design, so that modifications and extensions of the methods and/or their application by interested practitioners are effortless. We demonstrate the usefulness of our approach on a real-world scenario of computing document similarities within an existing digital library DML-CZ. Large corpora are ubiquitous in today's world and memory quickly becomes the limiting factor in practical applications of the Vector Space Model (VSM). We identify gap in existing VSM implementations, which is their scalability and ease of use. We describe a Natural Language Processing software framework which is based on the idea of document streaming, i.e. processing corpora document after document, in a memory independent fashion. In this framework, we implement several popular algorithms for topical inference, including Latent Semantic Analysis and Latent Dirichlet Allocation, in a way that makes them completely independent of the training corpus size. Particular emphasis is placed on straightforward and intuitive framework design, so that modifications and extensions of the methods and/or their application by interested practitioners are effortless. We demonstrate the usefulness of our approach on a real-world scenario of computing document similarities within an existing digital library DML-CZ. (en)
Title	Software Framework for Topic Modelling with Large Corpora Software Framework for Topic Modelling with Large Corpora (en)
skos:prefLabel	Software Framework for Topic Modelling with Large Corpora Software Framework for Topic Modelling with Large Corpora (en)
skos:notation	RIV/00216224:14330/10:00043991!RIV11-MSM-14330___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(2C06009), P(LA09016), S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Sojka, Petr Řehůřek, Radim
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	288276
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/10:00043991
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	document similarity; NLP; software; vector space model; topical modelling; software framework; topical document similarity; Python; IR; LSA; LDA; gensim; DML-CZ (en)
http://linked.open.../riv/klicoveSlovo	document similarity NLP LSA LDA Python gensim software vector space model DML-CZ software framework IR topical document similarity topical modelling
http://linked.open...ontrolniKodProRIV	[78BC1366AA5A]
http://linked.open...v/mistoKonaniAkce	Valletta, Malta
http://linked.open...i/riv/mistoVydani	Valletta, Malta
http://linked.open...i/riv/nazevZdroje	Proceedings of LREC 2010 workshop New Challenges for NLP Frameworks
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Complex knowledge base tools for natural language communication with the semantic web Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Sojka, Petr Řehůřek, Radim
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-05-22 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	University of Malta
https://schema.org/isbn	2-9517408-6-7
http://localhost/t...ganizacniJednotka	14330

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