Automatic text summarization / Juan-Manuel Torres-Moreno.
| Author/creator | Torres-Moreno, Juan-Manuel |
| Format | Electronic |
| Publication Info | London : ISTE Ltd ; Hoboken, NJ : John Wiley & Sons, Inc., 2014. |
| Description | xxiii, 348 pages : illustrations ; 25 cm. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Cognitive science and knowledge management series |
| Abstract | 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. |
| Bibliography note | Includes bibliographical references (pages 309-342) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2014947781 |
| ISBN | 9781848216686 |