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Analyzing Meanings of Identities

  • David R. Heise
Chapter

Abstract

A set of identity words serves as data points for three approaches to analyzing meanings: (1) dictionary definitions; (2) a word’s collocates or nearby words; (3) word associations. In each approach, function words and other words with low semantic content are removed, and remaining words are converted to root forms to obtain a list of keywords constituting an identity explication. The lists are turned into a zero-one matrix with a column for each identity and a row for each keyword used in any definition. Mathematical manipulations result in a correlation matrix showing the extent of keyword overlap in the definitions, and this is the basis of a principal component analysis defining clusters of identities in terms of similarities in their explications.

Keywords

Meaning Dictionary Collocates Word association Principal component analysis 

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Copyright information

© The Author(s) 2019

Authors and Affiliations

  • David R. Heise
    • 1
  1. 1.Indiana University BloomingtonBloomingtonUSA

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