American Documentation · 1962 · 85 citations · 8 references
ComputingComputer ScienceInformation RetrievalNatural Language ProcessingText AnalyticsLiterature MiningLiterature SearchingRetrieval ModelsText MiningText Similarity AnalysisCo-occurrence ModelingDocument RetrievalTerm Association
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.
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On Relevance, Probabilistic Indexing and Information Retrieval
M. E. Maron, J. L. Kuhns · Journal of the ACM · 1960 · 901 citations · Full text
Automatic Indexing: An Experimental Inquiry
M. E. Maron · Journal of the ACM · 1961 · 562 citations · Full text
Key word‐in‐context index for technical literature (kwic index)
H. P. Luhn · American Documentation · 1960 · 198 citations
Semantic Road Maps for Literature Searchers
Lauren B. Doyle · Journal of the ACM · 1961 · 140 citations · Full text