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Indexing by latent semantic analysis

Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman
1990 Journal of the American Society for Information Science  
A new method for automatic indexing and retrieval is described.  ...  by linear combination.  ...  A description of terms and documents based on the latent semantic structure is used for indexing and retrieval. 1 The particular "latent semantic indexing" (LSI) analysis that we have tried uses singular-value  ... 
doi:10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9 fatcat:pn4mahimjbb4hayvq6ynql3g3i

Indexing Audio Documents by using Latent Semantic Analysis and SOM [chapter]

Mikko Kurimo
1999 Kohonen Maps  
doi:10.1016/b978-044450270-4/50029-2 fatcat:3ufsgfai2bh3rb76juo2wyknri

Improved Video Content Indexing by Multiple Latent Semantic Analysis [chapter]

Fabrice Souvannavong, Bernard Merialdo, Benoît Huet
2004 Lecture Notes in Computer Science  
Latent Semantic Analysis (LSA) was successfully introduced to efficiently index text documents by detecting synonyms and the polysemy of words.  ...  In the experimental section, we make a comparison of LSA and M-LSA on two problems, namely object retrieval and semantic content estimation. ¡ This research was supported by the EU project GMF4iTV under  ...  Latent Semantic Analysis Latent Semantic Analysis (LSA) has been proven efficient for text document analysis and indexing.  ... 
doi:10.1007/978-3-540-27814-6_57 fatcat:5ssdognfd5ekbi3ehnppvicluu

Distributed, Large-Scale Latent Semantic Analysis by Index Interpolation

Sebastiano Vigna
2008 Proceedings of the Third International ICST Conference on Scalable Information Systems  
Latent semantic analysis [12] is a well-known technique to extrapolate concepts from a set of documents; it discards noise by reducing the rank of (a variant of) the term/document matrix of a document  ...  Moreover, our approach is advantageous when the document collection is large, because the number of terms over which latent semantic analysis has to be performed is inherently limited by the size of a  ...  Scalability of latent semantic analysis has always been a core concern [8] .  ... 
doi:10.4108/icst.infoscale2008.3500 dblp:conf/infoscale/Vigna08 fatcat:rfz2h2dyvvc6jfnoy2pekeh3x4

Genetic Algorithm based Term Ambiguity Analysis

Jeomg-Joon Kim, Dong-Beom Ko, Jeong-Min Park
2017 International Journal of Wireless and Mobile Communication for Industrial Systems  
These materials are described, and the information on what is the most by this text are classified according.  ...  GATA2 Genetic Algorithm based Ambiguity Analysis(GATA2) utilizes two techniques as the method for the analysis of ambiguity is a disadvantage of the latent semantic index.  ...  The generated matrix is expressed on the vector space by the latent semantic index technique and then vector-based clustering is performed.  ... 
doi:10.21742/ijwmcis.2017.4.1.07 fatcat:a7ycxdkoyraapapdbpooghxow4

Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization

Juan C. Caicedo, Jaafar BenAbdallah, Fabio A. González, Olfa Nasraoui
2012 Neurocomputing  
Experimental results show that the proposed method highly outperforms the response of the system in both tasks, when compared to multimodal latent semantic spaces generated by a singular value decomposition  ...  These additional data modalities may provide a semantic complement to the image visual content, which could improve the performance of different image content analysis tasks.  ...  Latent factors can be obtained using a variety of methods including Latent Semantic Indexing (LSI), Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation (LDA).  ... 
doi:10.1016/j.neucom.2011.04.037 fatcat:6joubook3jd5zljqxj34thjbna

Page 1208 of Behavior Research Methods Vol. 41, Issue 4 [page]

2009 Behavior Research Methods  
Indexing by latent semantic analysis. Journal of the American Society ofInformation Science, 41,391-407. Denhi^re, G., Hoareau, V., Jhean-Larose, S., Lehnard, W., BaYer, H., & Bellissens, C. (2(X)7).  ...  A similarity-based probability model for latent semantic indexing.  ... 

A Survey on Automatic Semantic Subject Indexing of Documents using Big Data Analytics

K. Swanthana
2018 International Journal for Research in Applied Science and Engineering Technology  
The existing strategies like, Vector Space Models, Latent Semantic Analysis, Probabilistic Latent Semantic Analysis, Logistic Regression, Linear Discriminant Analysis, Naïve Bayes and Logistic Regression  ...  The aim is to explore methods of indexing and retrieving the documents based on the different query search types, by utilizing some of the subject indexing strategy for Big Data manageability by identifying  ...  Latent Semantic Indexing Latent semantic indexing (LSI), sometimes also called latent semantic analysis (LSA), is an indexing and retrieval method that is based on the principle that words used in the  ... 
doi:10.22214/ijraset.2018.4282 fatcat:mki2fowtfff4jfug2mlcnkypdi

An infrastructure for open latent semantic linking

Alessandra Alaniz Macedo, Maria da Graca Campos Pimentel, Jose Antonio Camacho-Guerrero
2002 Proceedings of the thirteenth ACM conference on Hypertext and hypermedia - HYPERTEXT '02  
Latent Semantic Analysis has been proposed by the information retrieval community as an attempt to organize automatically text objects into a semantic structure appropriate for matching.  ...  We first present two complementary link-related efforts: an extensible latent semantic indexing service and an open linkbase service.  ...  Maria Pimentel has international support to the InCA-SERVE Project by CNPq in Brazil jointly with Gregory Abowd who is supported by NSF in the U.S.  ... 
doi:10.1145/513368.513369 fatcat:bx5xaw734vg5rdeoeosmtq6fme

An infrastructure for open latent semantic linking

Alessandra Alaniz Macedo, Maria da Graca Campos Pimentel, Jose Antonio Camacho-Guerrero
2002 Proceedings of the thirteenth ACM conference on Hypertext and hypermedia - HYPERTEXT '02  
Latent Semantic Analysis has been proposed by the information retrieval community as an attempt to organize automatically text objects into a semantic structure appropriate for matching.  ...  We first present two complementary link-related efforts: an extensible latent semantic indexing service and an open linkbase service.  ...  Maria Pimentel has international support to the InCA-SERVE Project by CNPq in Brazil jointly with Gregory Abowd who is supported by NSF in the U.S.  ... 
doi:10.1145/513338.513369 dblp:conf/ht/MacedoPC02 fatcat:fwpuap5bm5huxpur546yps2ee4

An Efficient and Privacy-Preserving Semantic Multi-Keyword Ranked Search over Encrypted Cloud Data

Li Chen, Xingming Sun, Zhihua Xia, Qi Liu
2014 International Journal of Security and Its Applications  
Firstly, we utilize the "Latent Semantic Analysis" to reveal relationship between terms and documents.  ...  The latent semantic analysis takes advantage of implicit higher-order structure in the association of terms with documents ("semantic structure") and adopts a reduced-dimension vector space to represent  ...  Acknowledgments This work is supported by the NSFC (61232016, 61173141, 61173142, 61173136, 61103215, 61373132, 61373133), GYHY201206033, 201301030, 2013DFG12860, BC2013012 and PAPD fund.  ... 
doi:10.14257/ijsia.2014.8.2.33 fatcat:4niyvoknmnac7fm2loneguy3v4

Text Mining Through Label Induction Grouping Algorithm Based Method [article]

Gulshan Saleem, Nisar Ahmed, Usman Qamar
2021 arXiv   pre-print
LINGO works on two main steps; Cluster Label Induction by using Latent Semantic Indexing technique (LSI) and Cluster content discovery by using the Vector Space Model (VSM).  ...  This study is mainly based o0n modification of Latent semantic indexing method by reducing cost of SVD by reducing the input matrix size through clustering and term selection.  ...  QIAN [4] has conducted the analysis of two information retrieval techniques; one is a random mapping (RM) and the other is latent semantic Indexing (LSI).  ... 
arXiv:2112.08486v1 fatcat:q4jr2zlfhbh4lcqxdosto6jrxu

Using Topic Analysis for Querying Halal Information on Malay Documents

Haslizatul Mohamed Hanum, Zainab Abu Bakar, Nurazzah Abdul Rahman, Marshima Mohd Rosli, Norzilah Musa
2014 Procedia - Social and Behavioral Sciences  
We investigate on topic analysis techniques such as Latent Semantic Analysis (LSA).  ...  We compare and discuss the result we get from using latent semantic with the result from using conventional frequency analysis.  ...  Acknowledgement The research if funded by Malaysian Ministry of Higher Education (MOHE) and Universiti Teknologi MARA (UiTM) Malaysia under the Fundamental Research Grant Scheme No. 600-RMI/ST/FRGS 5/3  ... 
doi:10.1016/j.sbspro.2014.01.1122 fatcat:mk43be6rynemtpkmbqku2efxam

A comparative study of various text mining approaches for analysis of drug reaction using social media post

Smruti J. Dave, Prof. Hardik H. Maheta
2019 International Journal of Research in Advent Technology  
Latent Semantic Indexing Latent Semantic Indexing also referred to as Latent Semantic Analysis [26] , [27] , [28] . It is used to improve the accuracy of information retrieval [35], [36] .  ...  It overcomes the issue of Latent Semantic Indexing by treating the weights as hidden random variables [28] , [29] .  ... 
doi:10.32622/ijrat.74201994 fatcat:hnaurfn5erdb5amzclmtzhr6si

Quantum Latent Semantic Analysis [chapter]

Fabio A. González, Juan C. Caicedo
2011 Lecture Notes in Computer Science  
Different LTA techniques have been proposed, some based on geometrical modeling (such as latent semantic analysis, LSA) and others based on a strong statistical foundation.  ...  The main goal of this paper is to explore latent topic analysis (LTA), in the context of quantum information retrieval.  ...  Introduction Since its inception, latent topic analysis 1 (LTA) (also known as latent semantic analysis/indexing) has been a valuable technique for document analysis and representation in both information  ... 
doi:10.1007/978-3-642-23318-0_7 fatcat:7kvxtd475jaj3lnowp7videwrm
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