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Indexing and abstracting by association

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  • Lauren B. Doyle

Abstract

This article discusses the possibility of exploiting the statistics of word co‐occurrence in text for purposes of document retrieval. Co‐occurrence is defined and related to the mental processes of authors and readers; several means of quantitative measurement of word co‐occurrence are then scrutinized. It is shown that the most strongly co‐occurring word pairs, which are therefore “associated” in a statistical sense, can be represented in the form of an “association map.” The last half of the article presents two modes of use of association maps in literature searching.

Suggested Citation

  • Lauren B. Doyle, 1962. "Indexing and abstracting by association," American Documentation, Wiley Blackwell, vol. 13(4), pages 378-390, October.
    • Handle: RePEc:bla:amedoc:v:13:y:1962:i:4:p:378-390
    DOI: 10.1002/asi.5090130404
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    Cited by:

    1. Gustedt, Jens & Raghavan, Hari K. & Schimit, Pedro, 2011. "Exploring the random genesis of co-occurrence networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1516-1528.
    2. Shuqing Li & Ying Sun & Dagobert Soergel, 2015. "A new method for automatically constructing domain-oriented term taxonomy based on weighted word co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1023-1042, June.

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