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 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 f…
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Produktdetails
- ISBN: 978-1-119-04407-9
- EAN: 9781119044079
- Produktnummer: 16933033
- Verlag: John Wiley & Sons
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 320 S.
- Plattform: EPUB
- Masse: 6'261 KB
- Auflage: 1. Auflage
Über den Autor
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.
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