000			04181cam a22005658i 4500
001			9781003371199
003			FlBoTFG
005			20240213122828.0
006			m o d
007			cr |||||||||||
008			221217s2023 flu ob 000 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003371199 _q(ebook)
020			_a1003371191
020			_a9781000849912 _q(electronic bk. : PDF)
020			_a1000849910 _q(electronic bk. : PDF)
020			_a9781000850024 _q(electronic bk. : EPUB)
020			_a1000850021 _q(electronic bk. : EPUB)
020			_z9781032392820 _q(hardback)
020			_z9781032442471 _q(paperback)
024	7		_a10.1201/9781003371199 _2doi
035			_a(OCoLC)1365062564
035			_a(OCoLC-P)1365062564
050	0	0	_aZ695.92
072		7	_aCOM _x059000 _2bisacsh
072		7	_aCOM _x004000 _2bisacsh
072		7	_aTEC _x008000 _2bisacsh
072		7	_aTJFM _2bicssc
082	0	0	_a025.4/10285635 _223/eng/20230123
100	1		_aPriya, V. _c(Professor of computer science and engineering), _eauthor.
245	1	0	_aComputational techniques for text summarization based on cognitive intelligence / _cV Priya and K. Umamaheswari.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, _c2023.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aConcepts of text summarization -- Large scale summarization using machine learning approach -- Sentiment analysis approach to text summarization -- Text summarization using parallel processing approach -- Optimization approaches for text summarization -- Performance evaluation of large-scale summarization systems -- Applications and future directions.
520			_a"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"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aAutomatic abstracting.
650		0	_aText processing (Computer science)
650		0	_aComputational intelligence.
650		7	_aCOMPUTERS / Computer Engineering _2bisacsh
650		7	_aCOMPUTERS / Artificial Intelligence _2bisacsh
650		7	_aTECHNOLOGY / Electronics / General _2bisacsh
700	1		_aUmamaheswari, K. _c(Professor of information technology), _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003371199
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5297 _d5297