Automatic Text Summarization
Juan Manuel Torres Moreno
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.
साल:
2014
संस्करण:
1st
प्रकाशन:
Wiley-ISTE
भाषा:
english
पृष्ठ:
348
ISBN 10:
1848216688
ISBN 13:
9781848216686
श्रृंखला:
Cognitive Science and Knowledge Management
फ़ाइल:
PDF, 3.72 MB
IPFS:
,
english, 2014
Amazon 
Barnes & Noble 
Bookshop.org
क्या आप अपना बुक स्टोर जोड़ना चाहेंगे? support@z-lib.do पर हमसे संपर्क करें
फ़ाइल कन्वर्टर
अधिक खोज परिणाम
अधिक लाभ 
सबसे उपयोगी शब्द
जुड़े हुए बुकलिस्ट
