Automatic text summarization using latent semantic analysis

DOI10.1134/S0361768811060041zbMath1251.68302OpenAlexW1994472257WikidataQ62048126 ScholiaQ62048126MaRDI QIDQ1758692

D. S. Popov, M. I. Petrovskiy, I. V. Mashechkin, D. V. Tsarev

Publication date: 16 November 2012

Published in: Programming and Computer Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0361768811060041

zbMATH Keywords

singular value decompositionlatent semantic analysisautomatic text summarizationimportant sentencestopic space

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Computing methodologies for text processing; mathematical typography (68U15)

Cites Work

• Algorithms and applications for approximate nonnegative matrix factorization
• Learning the parts of objects by non-negative matrix factorization
• Multi-document Summarization Based on Cluster Using Non-negative Matrix Factorization

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