منابع مشابه
Subject analysis and indexing : from automated indexing to domain analysis
Preparing an index to a book or assigning indexing terms to documents involves the task of subject analy sis. Subject analysis can be defined as "the intellectual or automated process by which the subjects of a docu ment are analyzed for subsequent expression in the form of subject data'.1 Is automatic indexing a chal lenge, or even a threat to indexers? What do we mean when we talk about "subj...
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The purpose of this article is to investigate the possibility of the automation of sophisticated subject indexing of medical journal articles. Approaches to subject descriptor assignment in information retrieval research are usually either based upon the manual descriptors included in the database or the attempted generation of alternative search parameters, using statistical, probabilistic or ...
متن کاملSubject analysis: the critical first stage in indexing
Studies of indexing neglect the first stage of the process, that is, subject analysis. In this study, novice indexers were asked to analyse three short, popular journal articles; to express the general subject as well as the primary and secondary topics in natural language statements; to state what influenced the analysis and to comment on the ease or difficulty of this process. The factors whi...
متن کاملAutomatic Multi-label Subject Indexing in a Multilingual Environment
This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines (SVM). The aim was to test the applicability of SVMs with a real world dataset. We have also explored the feasibility of incorporating multilingual background knowledge, as represented in thesauri or ontologies, into our text document representation for ...
متن کاملParameterized context windows in Random Indexing
This paper introduces a parameterization for word embeddings produced by the Random Indexing framework. The parameterization introduces position specific weights in the context windows, and the approach is shown to improve the performance in both word similarity and sentiment classification tasks. We also demonstrate the relation between Random Indexing and Convolutional Neural Networks.
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ژورنال
عنوان ژورنال: The American Archivist
سال: 1992
ISSN: 0360-9081
DOI: 10.17723/aarc.55.2.446n760w44x48447