Multilingual text analysis challenges, models, and approaches (Record no. 97834)

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fixed length control field 03257nmm a2200397 a 4500
001 - CONTROL NUMBER
control field 00011116
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240731095229.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190228s2019 si a ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789813274884
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
082 04 - CLASSIFICATION NUMBER
Call Number 401/.41
245 00 - TITLE STATEMENT
Title Multilingual text analysis challenges, models, and approaches
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore :
Publisher World Scientific Publishing Co. Pte Ltd.,
Year of publication ©2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (500 p.) :
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Multilingual 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 ## - SUMMARY, ETC.
Summary, etc "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."--
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General subdivision Data processing.
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General subdivision Methodology.
700 1# - AUTHOR 2
Author 2 Litvak, Marina.
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Author 2 Vanetik, Natalia.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldscientific.com/worldscibooks/10.1142/11116#t=toc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- Title from web page (viewed February 28, 2019).
520 ## - SUMMARY, ETC.
-- Publisher's website.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Critical discourse analysis.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Discourse analysis.
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-- Written communication.
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-- Content analysis (Communication)
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-- Applied linguistics

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