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» Essential Dimensions of Latent Semantic Indexing (LSI)
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SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
14 years 4 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
IJCAI
2007
13 years 9 months ago
Supervised Latent Semantic Indexing Using Adaptive Sprinkling
Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of t...
Sutanu Chakraborti, Rahman Mukras, Robert Lothian,...
CSMR
2008
IEEE
14 years 1 months ago
Towards Recovering Architectural Concepts Using Latent Semantic Indexing
Software engineers think about an existing software system in terms of high-level models. The high-level models are translated to source code and the concepts represented in these...
Pieter van der Spek, Steven Klusener, Piërre ...
IJCNLP
2004
Springer
14 years 25 days ago
A Study of Semi-discrete Matrix Decomposition for LSI in Automated Text Categorization
Abstract. This paper proposes the use of Latent Semantic Indexing (LSI) techniques, decomposed with semi-discrete matrix decomposition (SDD) method, for text categorization. The SD...
Qiang Wang, Xiaolong Wang, Guan Yi