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dc.contributor.authorSalton, Gerarden_US
dc.date.accessioned2007-04-23T17:46:11Z
dc.date.available2007-04-23T17:46:11Z
dc.date.issued1975-11en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR75-262en_US
dc.identifier.urihttps://hdl.handle.net/1813/6947
dc.description.abstractA number of automatic theories have been proposed over the last few years leading to the assignment of significance values to linguistic entities in accordance with their importance for purposes of content representation. Among these are methodologies based on decision theory, information theory, communication theory, vector space transformation and others. An attempt is made to compare these theories by exhibiting the formal frequency characteristics which underlie them. The effectiveness of the various approaches is also evaluated in experimental situations by using collections of documents in the areas of aerodynamics, medicine and world affairs.en_US
dc.format.extent873008 bytes
dc.format.extent460744 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleA Comparison of Term Value Measurements for Automatic Indexingen_US
dc.typetechnical reporten_US


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