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Producing high-dimensional semantic spaces from lexical co-occurrence
1996
Behavoir research methods, instruments & computers
A procedure that processes a corpus of text and produces numeric vectors containing information about its meanings for each word is presented. This procedure is applied to a large corpus of natural language text taken from Usenet, and the resulting vectors are examined to determine what information is contained within them. These vectors provide the coordinates in a high-dimensional space in which word relationships can be analyzed. Analyses of both vector similarity and multidimensional
doi:10.3758/bf03204766
fatcat:eniguyjdbje2djxjlmi5lkdsaq