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LREC
2008
153views Education» more  LREC 2008»
13 years 6 months ago
Using Random Indexing to improve Singular Value Decomposition for Latent Semantic Analysis
We present results from using Random Indexing for Latent Semantic Analysis to handle Singular Value Decomposition tractability issues. We compare Latent Semantic Analysis, Random ...
Linus Sellberg, Arne Jönsson
ICMLA
2008
13 years 6 months ago
Multimodal Music Mood Classification Using Audio and Lyrics
In this paper we present a study on music mood classification using audio and lyrics information. The mood of a song is expressed by means of musical features but a relevant part ...
Cyril Laurier, Jens Grivolla, Perfecto Herrera
COLING
2008
13 years 6 months ago
Latent Morpho-Semantic Analysis: Multilingual Information Retrieval with Character N-Grams and Mutual Information
We describe an entirely statistics-based, unsupervised, and languageindependent approach to multilingual information retrieval, which we call Latent Morpho-Semantic Analysis (LMSA...
Peter A. Chew, Brett W. Bader, Ahmed Abdelali
FLAIRS
2008
13 years 7 months ago
Using Latent Semantic Analysis to Explore Second Language Lexical Development
This study explores how Latent Semantic Analysis (LSA) can be used as a method to examine the lexical development of second language (L2) speakers. This year long longitudinal stu...
Scott A. Crossley, Thomas L. Salsbury, Philip M. M...
AUSAI
2009
Springer
13 years 8 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
IBPRIA
2007
Springer
13 years 9 months ago
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
Javier Melenchón, Elisa Martínez
KBSE
1999
IEEE
13 years 9 months ago
Automatic Software Clustering via Latent Semantic Analysis
The paper describes the initial results of applying Latent Semantic Analysis (LSA) to program source code and associated documentation. Latent Semantic Analysis is a corpus-based ...
Jonathan I. Maletic, Naveen Valluri
CHI
1999
ACM
13 years 9 months ago
Learning and Performing by Exploration: Label Quality Measured by Latent Semantic Analysis
Models of learning and performing by exploration assume that the semantic distance between task descriptions and screen labels controls in part the usersÕ search strategies. Neve...
Rodolfo Soto
DL
2000
Springer
210views Digital Library» more  DL 2000»
13 years 9 months ago
Extracting and visualizing semantic structures in retrieval results for browsing
The paper introduces an approach that organizes retrieval results semantically and displays them spatially for browsing. Latent Semantic Analysis as well as cluster techniques are...
Katy Börner
ICMCS
2000
IEEE
79views Multimedia» more  ICMCS 2000»
13 years 9 months ago
From Features to Semantics: Some Preliminary Results
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic anal...
Rong Zhao, William I. Grosky