John Wiley, 2010. — 405 p. — ISBN-10 0470749822; ISBN-13 978-0470749821 Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of...
Wiley-Blackwell, 2010 — 800 p.
ISBN-10: 1118347188
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).
Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward
Includes an introduction to the major...
2 edition, Springer, 2001 Основания компьютерной лингвистики. Общение человек-компьютер на естественном языке. Theory of Language Computational language analysis Technology and grammar Cognitive foundations of semantics Language communication Using language signs on suitable contexts Structure and functioning of signs Theory of Grammar Generative grammar Language hierarchies...
With the increasing importance of the Web and other text-heavy application areas, the demands for and interest in both text mining and natural language processing (NLP) have been rising. Researchers in text mining have hoped that NLP—the attempt to extract a fuller meaning representation from free text—can provide useful improvements to text mining applications of all kinds....
Cambridge University Press, 2008. — 504 p. — ISBN 978-0-521-86571-5. Язык: English Введение в информационный поиск — это первый учебник, в котором наряду с классическим поиском рассматриваются веб-поиск, а также классификация и кластеризация текстов. Учебник написан с точки зрения информатики и содержит современное изложение всех аспектов проектирования и реализации систем...
Second printing with corrections. — The MIT Press, 2000. — 680 p. — ISBN: 0262133601. Mathematical foundations. Linguistic essentials. Corpus-based work. Collocations. Statistical inference: n-gram models over sparse data. Word sense disambiguation. Lexical acquisition. Markov models. Part-of-speech tagging. Probabilistic context free grammars. Probabilistic parsing....
