Automatic Keyword Classification for Information Retrieval PDF Download

Author: Karen Sparck Jones
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 274

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Author: Vanda Broughton
Publisher: Facet Publishing
ISBN: 1783300310
Category : Language Arts & Disciplines
Languages : en
Pages : 433

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Book Description
Classification is a crucial skill for all information workers involved in organizing collections. This new edition offers fully revised and updated guidance on how to go about classifying a document from scratch. Essential Classification leads the novice classifier step by step through the basics of subject cataloguing, with an emphasis on practical document analysis and classification. It deals with fundamental questions of the purpose of classification in different situations, and the needs and expectations of end users. The reader is introduced to the ways in which document content can be assessed, and how this can best be expressed for translation into the language of specific indexing and classification systems. Fully updated to reflect changes to the major general schemes (Library of Congress, LCSH, Dewey and UDC) since the first edition, and with new chapters on working with informal classification, from folksonomies to tagging and social media, this new edition will set cataloguers on the right path. Key areas covered are: - The need for classification - The variety of classification - The structure of classification - Working with informal classification - Management aspects of classification - Classification in digital space. This guide is essential reading for library school students, novice cataloguers and all information workers who need to classify but have not formally been taught how. It also offers practical guidance to computer scientists, internet and intranet managers, and all others concerned with the design and maintenance of subject tools.

Author: Robert F. Chew
Publisher: RTI Press
ISBN:
Category : Self-Help
Languages : en
Pages : 18

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Book Description
Advancements in machine learning and natural language processing have made text classification increasingly attractive for information retrieval. However, developing text classifiers is challenging when no prior labeled data are available for a rare category of interest. Finding instances of the rare class using a uniform random sample can be inefficient and costly due to the rare category’s low base rate. This work presents an approach that combines the strengths of text classification and Boolean retrieval to help learn rare concepts of interest. As a motivating example, we use the task of finding conversations that reference firearm injury or violence in the Crisis Text Line database. Identifying rare categories, like firearm injury or violence, can improve crisis lines' abilities to support people with firearm-related crises or provide appropriate resources. Our approach outperforms a set of iteratively refined Boolean queries and results in a recall of 0.91 on a test set generated from a process independent of our study. Our results suggest that text classification with Boolean retrieval initialization can be effective for finding rare categories of interest and improve on the precision of using Boolean retrieval alone.

Author: Miguel-Angel Sicilia
Publisher: Springer Science & Business Media
ISBN: 0387777458
Category : Computers
Languages : en
Pages : 546

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Book Description
This is an edited volume based on the 2007 Conference on Metadata and Semantics Research (MTSR), now in its second meeting. Metadata research is a pluri-disciplinary field that encompasses all aspects of the definition, creation, assessment, management and use of metadata. The volume brings together world class leaders to contribute their research and up-to-date information on metadata and semantics applied to library management, e-commerce, e-business, information science and librarianship, to name a few. The book is designed for a professional audience composed of researchers and practitioners in industry.

Author:
Publisher:
ISBN:
Category : Diagnosis, Laboratory
Languages : en
Pages : 276

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Author: J. B. Fried
Publisher:
ISBN:
Category : Indexing
Languages : en
Pages : 22

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Author: Gesellschaft für Klassifikation. Jahrestagung
Publisher: Springer Science & Business Media
ISBN: 9783540629818
Category : Business & Economics
Languages : en
Pages : 706

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Book Description
This volume presents 71 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and text analysis as well as manifold applications. Eight sections have been arranged: Data Analysis and Classification. Neural Networks and Pattern Recognition. Statistical Models and Methods. Information Systems: Design and Implementation. Text Analysis and Information Retrieval. Applications in Medicine. Applications in Economics and Social Sciences. Applications in Archaeology, Biology, Linguistics and Dialectometry. The grouping shows how theoretical aspects, applications and interdisciplinarities are interrelated in many respects.

Author:
Publisher:
ISBN:
Category : Medical instruments and apparatus
Languages : en
Pages : 440

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Book Description

Author: Wei-Dong Zhu
Publisher: IBM Redbooks
ISBN: 0738433527
Category : Computers
Languages : en
Pages : 472

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Book Description
IBM® Classification Module (Classification Module) Version 8.6 is an advanced enterprise software platform tool designed to allow organizations to automate the classification of unstructured content. By deploying the module in various areas of a business, organizations can reduce or avoid manual processes associated with subjective decision making around unstructured content. Organizations can also streamline the ingestion of that content into their business systems in order to use the information within the business systems more effectively. At the same time, the organizations can safely remove irrelevant or obsolete information and therefore utilize the storage infrastructure more efficiently. By reducing the human element in this process, Classification Module ensures accuracy and consistency and enables auditing while simultaneously driving down labor costs. This IBM Redbooks® publication explains what Classification Module does, the key concepts to understand when working with Classification Module, and its integration with other products and systems. With this book, we show you how Classification Module helps your organization to automate the classification of large volumes of unstructured content in a consistent and accurate manner. The topics that are covered include building, training, and fine-tuning the knowledge base, creating decision plans, working with Classification Workbench, and step-by-step integration with other products and solutions. This book is intended to educate both technical specialists and nontechnical personnel in how to make Classification Module work for your organizations.

Author: United States. Patent and Trademark Office
Publisher:
ISBN:
Category : Patents
Languages : en
Pages : 914

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