Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2010
Genre:	Naturwissensch., Medizin, Technik
	Applied mathematics / Artificial Intelligence / Automated Pattern Recognition / C / engineering / Engineering mathematics / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Natural language & machine translation / Natural language processing (Computer science) / Natural Language Processing (NLP) / pattern recognition
ISBN:	9783642072253
EAN-Code:	9783642072253
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	#209 - Studies in Fuzziness and Soft Computing
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	724 gr
Seiten:	444
Illustration:	VIII, 444 p.
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The significance of natural language texts as the prime information structure for the management and dissemination of knowledge is - as the rise of the web shows - still increasing. Making relevant texts available in different contexts is of primary importance for efficient task completion in academic and industrial settings. Meeting this demand requires automatic form and content based processing of texts, which enables to reconstruct or even to explore the dynamic relationship of language system, text event and context type. The rise of new application areas, disciplines and methods (e.g. text and web mining) testify to the importance of this task. Moreover, the growing area of new media demands the further development of methods of text analysis with respect to their computational linguistic, information theoretical, and mathematical underpinning. This book contributes to this task. It collects contributions of authors from a multidisciplinary area who focus on the topic of automatic text analysis from several (i.e. linguistic, mathematical, and information theoretical) perspectives. It describes methodological as well as methodical foundations and collects approaches in the field of text and corpus linguistics. In this sense, it contributes to the computational linguistic and information theoretical grounding of automatic text analysis.