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» Spotting Topics with the Singular Value Decomposition
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EP
1998
Springer
13 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
13 years 5 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»
13 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
13 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»
13 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