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Speeding Up Latent Semantic Analysis: A Streamed Distributed Algorithm for SVD Updates

česky | in English

ŘEHŮŘEK, Radim. Speeding Up Latent Semantic Analysis: A Streamed Distributed Algorithm for SVD Updates. In Joaquim Filipe. Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART). Portugal: INSTICC Press, 2010. p. 446-451, 6 pp. ISBN 978-989-8425-40-9.
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Basic information
Original name Speeding Up Latent Semantic Analysis: A Streamed Distributed Algorithm for SVD Updates
Authors ŘEHŮŘEK, Radim (203 Czech Republic, guarantor, belonging to the institution).
Edition Portugal, Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART), p. 446-451, 6 pp. 2010.
Publisher INSTICC Press
Other information
Original language English
Type of outcome article in proceedings
Field of Study Information theory
Country of publisher Italy
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/10:00047038
Organization unit Faculty of Informatics
ISBN 978-989-8425-40-9
Keywords in English svd lda lsi
Tags International impact, Reviewed
Changed by Changed by: RNDr. Radim Řehůřek, Ph.D., učo 39672. Changed: 28. 2. 2011 05:41.
Abstract
The purpose of Latent Semantic Analysis (LSA) is to find hidden (latent) structure in a collection of texts represented in the Vector Space Model. LSA was introduced in~\cite{deerwester1990indexing} and has since become a standard tool in the field of Natural Language Processing and Information Retrieval. At the heart of LSA lies the \emph{Singular Value Decomposition} algorithm, which makes LSA (sometimes also called Latent Semantic Indexing, or LSI) really just another member of the broad family of applications that make use of SVD's robust and mathematically well-founded approximation capabilities, from Image Processing; or Signal Processing, where SVD is commonly used to separate signal from noise. SVD is also used in solving shift-invariant differential equations, in Geophysics, in Antenna Array Processing, \ldots}. In this way, although we will discuss our results in the perspective and terminology of LSA and Natural Language Processing, our results are in fact applicable to a wide range of problems and domains across much of the field of Computer Science.
Links
LC536, research and development projectName: Centrum komputační lingvistiky
Investor: Ministry of Education, Youth and Sports of the CR, Basic Research Center
PrintDisplayed: 21. 9. 2017 17:49

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