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Text summarization using a trainable summarizer and latent semantic analysis

✍ Scribed by Jen-Yuan Yeh; Hao-Ren Ke; Wei-Pang Yang; I-Heng Meng

Book ID
113663431
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
529 KB
Volume
41
Category
Article
ISSN
0306-4573

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## Abstract Latent semantic analysis has been used for several years to improve the performance of document library searches. We show that latent semantic analysis, augmented with a Part–of–Speech Tagger, may be an effective algorithm for classifying a textual document as well. Using Brille's Part–