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题名/责任者:

Computational techniques for text summarization based on cognitive intelligence / V. Priya and K. Umamaheswari.

版本说明:

First edition.

出版发行项:

Boca Raton : CRC Press, Taylor & Francis Group, 2023.

ISBN:

9781032392820

ISBN:

1032392827

ISBN:

9781032442471

ISBN:

1032442476

载体形态项:

xi, 216 pages : illustrations (black and white) ; 24 cm

个人责任者:

Priya, V. (Professor of computer science and engineering), author.

附加个人名称:

Umamaheswari, K. (Professor of information technology), author.

论题主题:

Automatic abstracting.

论题主题:

Text processing (Computer science)

论题主题:

Computational intelligence.

中图法分类号:

G254.92

书目附注:

Includes bibliographical references and index.

摘要附注:

"The book is concerned with contemporary methodologies used for automatic text summarization. It proposes interesting approaches to solve well-known problems on text-summarization using computational intelligence (CI) techniques including cognitive approaches. A better understanding of the cognitive basis of the summarization task is still an open research issue, an extent of its use in text summarization is highlighted for further exploration. With the ever-growing text and people on research has little time to spare for extensive reading, where, summarized information helps for a better understanding of the context at a shorter time. This book helps students and researchers to automatically summarize the text documents in an efficient and effective way. The computational approaches and the research techniques presented guides to achieve text summarization at ease. The summarized text generated supports readers to learn the context or the domain at a quicker pace. The book is presented with reasonable amount of illustrations and examples convenient for the readers to understand and implement for their use. The book is not to make readers understand what text summarization is, but for people to perform text summarization using various approaches. This also describes measures that can help to evaluate, determine and explore the best possibilities for text summarization to analyse and use for any specific purpose. The illustration is based on social media and healthcare domain, which shows the possibilities to work with any domain for summarization. The new approach for text summarization based on cognitive intelligence is presented for further exploration in the field"--

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