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@inproceedings{921969, author = {Řehůřek, Radim}, address = {Portugal}, booktitle = {Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART)}, editor = {Joaquim Filipe}, keywords = {svd lda lsi}, language = {eng}, location = {Portugal}, isbn = {9789898425409}, pages = {446451}, publisher = {INSTICC Press}, title = {Speeding Up Latent Semantic Analysis: A Streamed Distributed Algorithm for SVD Updates}, url = {http://www.icaart.org/Program_Saturday.htm}, year = {2010} }
TY  JOUR ID  921969 AU  Řehůřek, Radim PY  2010 TI  Speeding Up Latent Semantic Analysis: A Streamed Distributed Algorithm for SVD Updates PB  INSTICC Press CY  Portugal SN  9789898425409 KW  svd lda lsi UR  http://www.icaart.org/Program_Saturday.htm N2  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 wellfounded approximation capabilities, from Image Processing; or Signal Processing, where SVD is commonly used to separate signal from noise. SVD is also used in solving shiftinvariant 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. ER 
ŘEHŮŘEK, Radim. \textit{Speeding Up Latent Semantic Analysis: A Streamed Distributed Algorithm for SVD Updates}. In Joaquim Filipe. \textit{Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART)}. Portugal: INSTICC Press, 2010. p.~446451, 6 pp. ISBN~9789898425409.
