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» Spotting Topics with the Singular Value Decomposition
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EP
1998
Springer
8 years 8 months ago
Spotting Topics with the Singular Value Decomposition
Abstract. The singular value decomposition, or SVD , has been studied in the past as a tool for detecting and understanding patterns in a collection of documents. We show how the m...
Charles K. Nicholas, Randall Dahlberg
ICWSM
2008
8 years 6 months ago
Extracting Topics and Innovators Using Topic Diffusion Process in Weblogs
The diffusion process on weblogs has attracted great interest since the early days of weblog studies. We propose a ranking technique which extracts topics and innovators by analyz...
Tadanobu Furukawa, Yutaka Matsuo, Ikki Ohmukai, Ko...
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
8 years 11 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
ECIR
2006
Springer
8 years 5 months ago
Sentence Retrieval with LSI and Topic Identification
This paper presents two sentence retrieval methods. We adopt the task definition done in the TREC Novelty Track: sentence retrieval consists in the extraction of the relevant sente...
David Parapar, Alvaro Barreiro
HICSS
2010
IEEE
200views Biometrics» more  HICSS 2010»
8 years 6 months ago
Instability of Relevance-Ranked Results Using Latent Semantic Indexing for Web Search
1 The latent semantic indexing (LSI) methodology for information retrieval applies the singular value decomposition to identify an eigensystem for a large matrix, in which cells re...
Houssain Kettani, Gregory B. Newby
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