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Louise Reader

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Description

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.
Pages
376 pages
Collection
n.c
Parution
2014-09-25
Marque
Wiley-ISTE
EAN papier
9781848216686
EAN PDF
9781119044147
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
376
Taille du fichier
4260 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €
EAN EPUB
9781119044079
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
376
Taille du fichier
6257 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €

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