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Automatic Text Summarization /

Textual information in the form of digital documents quickly accumulates to create huge amounts of data. The majority of these documents are unstructured: it is unrestricted text and has not been organized into traditional databases. Processing documents is therefore a perfunctory task, mostly due t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Torres-Moreno, Juan-Manuel
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Hoboken, NJ : ISTE ; Wiley, 2014.
Colección:Cognitive science and knowledge management series.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Textual information in the form of digital documents quickly accumulates to create huge amounts of data. The majority of these documents are unstructured: it is unrestricted text and has not been organized into traditional databases. Processing documents is therefore a perfunctory task, mostly due to a lack of standards. It has thus become extremely difficult to implement automatic text analysis tasks. This book can help to process this ever-increasing, difficult-to-handle, mass of information. It examines the motivations and different algorithms for ATS. The author presents the recent state of the art before describing the main problems of ATS, as well as the difficulties and solutions provided by the community. It provides recent advances in ATS, as well as current applications and trends. The approaches are statistical, linguistic and symbolic. Several examples are also included in order to clarify the theoretical concepts. --
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781119044147
1119044146
1322166625
9781322166629
9781119004752
1119004756
1848216688
9781848216686