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007			cr |uu|||uu|||
008			190228s2019 si a ob 001 0 eng d
010			_z 2018047796
040			_aWSPC _beng _cWSPC
020			_a9789813274884 _q(ebook)
020			_z9789813274877 _q(hbk.)
050	0	4	_aP302 _b.M828 2019
082	0	4	_a401/.41 _223
245	0	0	_aMultilingual text analysis challenges, models, and approaches _h[electronic resource] / _cedited by Marina Litvak and Natalia Vanetik.
260			_aSingapore : _bWorld Scientific Publishing Co. Pte Ltd., _c©2019.
300			_a1 online resource (500 p.) : _bill.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
588			_aTitle from web page (viewed February 28, 2019).
504			_aIncludes bibliographical references and index.
505	0		_aMultilingual text analysis : history, tasks and challenges -- Using a polytope model for unsupervised document summarization -- Approach for unsupervised multilingual document summarization -- Rich feature spaces and regression models in single-document extractive summarization -- Hierarchical topic model and summarization -- A survey of neural models for abstractive summarization -- Heads : headline generation as a sequence prediction using an abstract feature-rich space -- Crowdsourcing in single-document summary -- Multilingual summarization and evaluation using Wikipedia featured articles -- Are better summaries also easier to understand? : analyzing text complexity -- In automatic summarization -- Twitter event detection, analysis, and summarization -- Linguistic bias in crowdsourced biographies : a cross-lingual examination -- Multilingual financial narrative processing : analysis annual reports in English, Spanish, and Portugese.
520			_a"Text analytics (TA) covers a very wide research area. Its overarching goal is to discover and present knowledge - facts, rules, and relationships - that is otherwise hidden in the textual content. The authors of this book guide us in a quest to attain this knowledge automatically, by applying various machine learning techniques. This book describes recent development in multilingual text analysis. It covers several specific examples of practical TA applications, including their problem statements, theoretical background, and implementation of the proposed solution. The reader can see which preprocessing techniques and text representation models were used, how the evaluation process was designed and implemented, and how these approaches can be adapted to multilingual domains."-- _cPublisher's website.
650		0	_aCritical discourse analysis. _9178584
650		0	_aDiscourse analysis. _922450
650		0	_aWritten communication. _925161
650		0	_aContent analysis (Communication) _xData processing. _928019
650		0	_aApplied linguistics _xMethodology. _9178585
655		0	_aElectronic books. _93294
700	1		_aLitvak, Marina. _9178586
700	1		_aVanetik, Natalia. _9178587
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/11116#t=toc _zAccess to full text is restricted to subscribers.
942			_cEBK
999			_c97834 _d97834