Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 4 |
Descriptor
Content Analysis | 35 |
Information Retrieval | 35 |
Indexing | 29 |
Relevance (Information… | 10 |
Information Storage | 9 |
Online Systems | 8 |
Search Strategies | 8 |
Automatic Indexing | 7 |
Automation | 7 |
Classification | 7 |
Subject Index Terms | 7 |
More ▼ |
Source
Author
Salton, G. | 2 |
Salton, Gerard | 2 |
Abrera, Josefa B. | 1 |
Aoe, Jun-ichi | 1 |
Artandi, Susan | 1 |
Atherton, Pauline | 1 |
Atlam, El-Sayed | 1 |
Buckley, Christopher | 1 |
Cawkell, Tony | 1 |
Chu, Heting | 1 |
Fried, J.B. | 1 |
More ▼ |
Publication Type
Education Level
Elementary Secondary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Researchers | 1 |
Location
United Kingdom | 3 |
Denmark | 2 |
Asia | 1 |
Australia | 1 |
Brazil | 1 |
Canada | 1 |
Connecticut | 1 |
Egypt | 1 |
Estonia | 1 |
Florida | 1 |
Germany | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kim, Yong-Mi – ProQuest LLC, 2011
In recent years, tags have become a standard feature on a diverse range of sites on the Web, accompanying blog posts, photos, videos, and online news stories. Tags are descriptive terms attached to Internet resources. Despite the rapid adoption of tagging, how people use tags during the search process is not well understood. There is little…
Descriptors: Information Retrieval, Internet, Video Technology, Web Sites
McFarlane, Delano J. – ProQuest LLC, 2011
Researchers that investigate the media's coverage of health have historically relied on keyword searches to retrieve relevant health news coverage, and manual content analysis methods to categorize and score health news text. These methods are problematic. Manual content analysis methods are labor intensive, time consuming, and inherently…
Descriptors: Obesity, Research Methodology, Public Health, Hypothesis Testing
Cornell Univ., Ithaca, NY. Dept. of Computer Science. – 1970
Four papers are included in Part One of the eighteenth report on Salton's Magical Automatic Retriever of Texts (SMART) project. The first paper: "Content Analysis in Information Retrieval" by S. F. Weiss presents the results of experiments aimed at determining the conditions under which content analysis improves retrieval results as well…
Descriptors: Automatic Indexing, Automation, Citations (References), Content Analysis
Snow, Bonnie – Online, 2000
Discusses the growing gap between what is available on the Internet and what search engines can retrieve, particularly data lost in the breach of the unindexable, versus the unindexed, Web. Highlights include products designed to focus on content that is usually missed by search engines; and directories versus search engines. (Contains 10…
Descriptors: Content Analysis, Indexing, Information Retrieval, Internet

Wu, Jian Kang; Narasimhalu, A. Desai – Information Processing & Management, 1998
Proposes a fuzzy-image database model and a concept of fuzzy space; describes fuzzy-query processing in fuzzy space and fuzzy indexing on complete fuzzy vectors; and uses an example image database, the computer-aided facial-image inference and retrieval system (CAFIIR), for explanation throughout. (Author/LRW)
Descriptors: Content Analysis, Databases, Indexing, Information Retrieval

Chu, Heting – Journal of the American Society for Information Science and Technology, 2001
Discussion of research in image indexing and retrieval focuses on a study that analyzed citations and documents relevant to image indexing and retrieval obtained from the SCI (Science Citation Index) and SSCI (Social Science Citation Index). Results confirmed that there exist two distinctive research groups, employing the content-based and…
Descriptors: Citation Analysis, Content Analysis, Indexing, Information Retrieval

Cawkell, Tony – Information Services & Use, 2000
Reviews content-based image retrieval and discusses the increase in large picture databases that are now available. Describes some of the proceedings from the Brighton (United Kingdom) conference, including the retrieval of video clips; discusses image indexing; and provides examples of image indexing and retrieval projects. (Author/LRW)
Descriptors: Conferences, Content Analysis, Foreign Countries, Indexing

Maeda, Takashi; And Others – Information Processing and Management, 1980
Describes an automatic method, based upon a text structure analysis and using a relatively small dictionary, to extract significant phrases from the title and the abstract of scientific and technical documents. The information representation of the document is discussed with relation to the construction of the document information retrieval…
Descriptors: Abstracts, Automatic Indexing, Content Analysis, Information Processing
Maron, M.E.; Shoffner, R.M. – 1969
This report presents the principal objectives and results of the Context Information Processing Project and discusses the nature of context and its relationship to conventional models of information storage and retrieval. In this approach literature searching involves prediction, and context represents a new class of clues to be obtained and…
Descriptors: Content Analysis, Context Clues, Indexing, Information Processing
Salton, G.; And Others – 1974
Most existing automatic content analysis and indexing techniques are based on work frequency characteristics applied largely in an ad hoc manner. Contradictory requirements arise in this connection, in that terms exhibiting high occurrence frequencies in individual documents are often useful for high recall performance (to retrieve many relevant…
Descriptors: Automatic Indexing, Automation, Content Analysis, Discriminant Analysis
Ontario Educational Communications Authority, Toronto. Research and Planning Branch. – 1974
Three projects, each covering certain selected aspects of a potential information storage and retrieval system, were part of a study by the Ontario Educational Communications Authority (OECA) to explore various means for extending the usefulness of audiovisual materials. Project Dataset began the collection, classification, and cataloging of…
Descriptors: Computer Programs, Content Analysis, Indexing, Information Retrieval

Wong, S. K. M.; Yao, Y. Y. – Journal of the American Society for Information Science, 1992
Discussion of recall and precision of index terms focuses on an information-theoretic measure of term specificity. Term weighting schemes are described, including the inverse document frequency (IDF) and signal-noise ratio (S/N) approaches; term weighting by specificity is explained; and the need for experiments with test document collections is…
Descriptors: Content Analysis, Indexing, Information Retrieval, Mathematical Formulas
Atherton, Pauline – 1976
The Subject Access Project second quarterly report for September to December 1976 summarized in-progress work to improve subject access to monographs. Activities include: (1) analysis of book indexes and tables of contents for terms to augment MARC subject description; (2) analysis of additional book sections--e.g., maps, illustrations, charts,…
Descriptors: Cataloging, Content Analysis, Databases, Experimental Programs
Howder, Murray L. – 1973
People who develop information into a consumable form seem at times to work in a vacuum, failing to consider the potential users. Some helpful tips for preparing documents for easy retrieval and use, based upon guidelines followed in the Educational Resources Information Center (ERIC) system, are presented. The three major areas of evaluation are…
Descriptors: Abstracting, Content Analysis, Documentation, Evaluation Criteria

Atlam, El-Sayed; Fuketa, M.; Morita, K.; Aoe, Jun-ichi – Information Processing & Management, 2003
Discussion of text analysis and information retrieval and measurement of document similarity focuses on a new text manipulation system called FA (field association)-Sim that is useful for retrieving information in large heterogeneous texts and for recognizing content similarity in text excerpts. Discusses recall and precision, automatic indexing…
Descriptors: Automatic Indexing, Content Analysis, Information Retrieval, Mathematical Formulas