Automatic Indexing and Abstracting of Document Texts [electronic resource] /

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.

Bibliographic Details

Main Authors:	Moens, Marie-Francine. author., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Springer US, 2002
Subjects:	Computer science., Data structures (Computer science)., Information storage and retrieval., Artificial intelligence., Text processing (Computer science)., Computer Science., Information Storage and Retrieval., Artificial Intelligence (incl. Robotics)., Document Preparation and Text Processing., Data Structures, Cryptology and Information Theory.,
Online Access:	http://dx.doi.org/10.1007/b116177
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