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» Latent Semantic Indexing (LSI): TREC-3 Report
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DEXA
2006
Springer
193views Database» more  DEXA 2006»
13 years 11 months ago
Understanding and Enhancing the Folding-In Method in Latent Semantic Indexing
Abstract. Latent Semantic Indexing(LSI) has been proved to be effective to capture the semantic structure of document collections. It is widely used in content-based text retrieval...
Xiang Wang 0002, Xiaoming Jin
CIKM
2010
Springer
13 years 6 months ago
Hypergraph-based multilevel matrix approximation for text information retrieval
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
Haw-ren Fang, Yousef Saad
SIGIR
2005
ACM
14 years 1 months ago
Multi-label informed latent semantic indexing
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
Kai Yu, Shipeng Yu, Volker Tresp
FLAIRS
2008
13 years 10 months ago
Incorporating Latent Semantic Indexing into Spectral Graph Transducer for Text Classification
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
Xinyu Dai, Baoming Tian, Junsheng Zhou, Jiajun Che...
IKE
2007
13 years 9 months ago
Understanding Latent Semantic Indexing: A Topological Structure Analysis Using Q-Analysis Method
Abstract – The method of latent semantic indexing (LSI) is well known for tackling the synonymy and polysemy problems in information retrieval. However, its performance can be ve...
Dandan Li, Chungping Kwong