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  1. Multilingual text analysis
    challenges, models, and approaches
    Contributor: Liṭvaḳ, Marinah (Publisher); Vanetik, Natalia (Publisher)
    Published: [2019]; © 2019
    Publisher:  World Scientific, New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo

    Location:
    Bayerische Staatsbibliothek
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Universitätsbibliothek Passau
    Inter-library loan:
    Unlimited inter-library loan, copies and loan
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    Content information
    Source: Union catalogues
    Contributor: Liṭvaḳ, Marinah (Publisher); Vanetik, Natalia (Publisher)
    Language: English
    Media type: Book
    ISBN: 9789813274877
    RVK Categories: ES 940
    Subjects: Mehrsprachigkeit; Textanalyse; Computerlinguistik
    Other subjects: Critical discourse analysis; Discourse analysis; Written communication; Content analysis (Communication) / Data processing; Applied linguistics / Methodology; Applied linguistics / Methodology; Content analysis (Communication) / Data processing; Critical discourse analysis; Discourse analysis; Written communication
    Scope: x, 489 Seiten, Illustrationen, Diagramme, Porträts
    Notes:

    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
  2. Multilingual text analysis challenges, models, and approaches
    Published: 2019
    Publisher:  World Scientific Publishing Company Pte Limited, Singapore

    "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... more

    Location:
    Universität der Bundeswehr München, Universitätsbibliothek
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    "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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    Content information
    Volltext (URL des Erstveröffentlichers)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789813274884
    Other identifier:
    RVK Categories: ES 940
    Subjects: Critical discourse analysis; Discourse analysis; Written communication; Content analysis (Communication) / Data processing; Applied linguistics / Methodology; Mehrsprachigkeit; Textanalyse; Computerlinguistik
    Other subjects: Electronic books
    Scope: 1 online resource (500 pages), illustrations
    Notes:

    Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader

    Includes bibliographical references and index

    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