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Juan-Manuel Torres-Moreno 
Automatic Text Summarization 

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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. Automatic Text Summarization (ATS), by condensing the text while maintaining relevant information, can help to process this ever-increasing, difficult-to-handle, mass of information.

This book 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. The book 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.
€139.99
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A propos de l’auteur

Juan-Manuel Torres-Moreno is Associate Professor at the Université d’Avignon et des Pays de Vaucluse (UAPV) in France and is head of the research team Natural Language Processing (NLP/TALNE) at the Laboratoire Informatique d’Avignon (LIA). His current research lies within the field of NLP where he is investigating techniques for ATS. His other research interests include sentence compression, information retrieval, machine learning and artificial consciousness.
Langue Anglais ● Format EPUB ● Pages 376 ● ISBN 9781119044079 ● Taille du fichier 6.4 MB ● Éditeur Juan-Manuel Torres-Moreno ● Maison d’édition John Wiley & Sons ● Publié 2014 ● Édition 1 ● Téléchargeable 24 mois ● Devise EUR ● ID 3395319 ● Protection contre la copie Adobe DRM
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