Literature DB >> 17838425

Automatic analysis, theme generation, and summarization of machine-readable texts.

G Salton, J Allan, C Buckley, A Singhal.   

Abstract

Vast amounts of text material are now available in machine-readable form for automatic processing. Here, approaches are outlined for manipulating and accessing texts in arbitrary subject areas in accordance with user needs. In particular, methods are given for determining text themes, traversing texts selectively, and extracting summary statements that reflect text content.

Year:  1994        PMID: 17838425     DOI: 10.1126/science.264.5164.1421

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  2 in total

1.  Mining the bibliome: searching for a needle in a haystack? New computing tools are needed to effectively scan the growing amount of scientific literature for useful information.

Authors:  Les Grivell
Journal:  EMBO Rep       Date:  2002-03       Impact factor: 8.807

2.  Resources for comparing the speed and performance of medical autocoders.

Authors:  Jules J Berman
Journal:  BMC Med Inform Decis Mak       Date:  2004-06-15       Impact factor: 2.796

  2 in total

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