| Automatic Indexing and Abstracting of Document Texts 2002 Edition Contributor(s): Moens, Marie-Francine (Author) |
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ISBN: 0792377931 ISBN-13: 9780792377931 Publisher: Springer OUR PRICE: $284.99 Product Type: Hardcover - Other Formats Published: March 2000 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | System Administration - Storage & Retrieval - Computers | Databases - General - Language Arts & Disciplines | Library & Information Science - General |
| Dewey: 025.302 |
| LCCN: 00020394 |
| Series: Information Retrieval |
| Physical Information: 0.88" H x 6.5" W x 9.5" (1.17 lbs) 266 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |