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...
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London :
ISTE ;
2014.
Hoboken, NJ : Wiley, 2014. |
| Σειρά: | Cognitive science and knowledge management series.
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
| Περίληψη: | 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. -- |
|---|---|
| Φυσική περιγραφή: | 1 online resource. |
| Βιβλιογραφία: | Includes bibliographical references and index. |
| ISBN: | 9781119044147 1119044146 1322166625 9781322166629 9781119004752 1119004756 1848216688 9781848216686 |
| DOI: | 10.1002/9781119004752 |
