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Item Details
Title:
AUTOMATIC INDEXING AND ABSTRACTING OF DOCUMENT TEXTS
By:
Marie-Francine Moens
Format:
Hardback
List price:
£249.99
Our price:
£212.49
Discount:
15
% off
You save:
£37.50
ISBN 10:
0792377931
ISBN 13:
9780792377931
Availability:
Usually dispatched within 3-5 days.
Delivery rates
Stock:
Currently
3
available
Publisher:
KLUWER ACADEMIC PUBLISHERS
Edition:
2002 ed.
Series:
The Information Retrieval Series v. 6
Pages:
266
Description:
Summarizes the techniques of automatic indexing and abstracting, and the results of their application. This book covers techniques that involve the following: using text grammars, and learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms.
Synopsis:
Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.
Illustrations:
biography
Publication:
US
Imprint:
Kluwer Academic Publishers
Returns:
Returnable
Some other items by this author:
ADVANCES IN INFORMATION RETRIEVAL (PB)
AUTOMATIC INDEXING AND ABSTRACTING OF DOCUMENT TEXTS (PB)
INFORMATION EXTRACTION (HB)
INFORMATION EXTRACTION: ALGORITHMS AND PROSPECTS IN A RETRIEVAL CONTEXT (PB)
MINING USER GENERATED CONTENT
MINING USER GENERATED CONTENT (HB)
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