Semantic Density Analysis: Comparing Word Meaning across Time and Phonetic Space

Abstract

This paper presents a new statistical method for detecting and tracking changes in word meaning, based on Latent Semantic Analysis. By comparing the density of semantic vector clusters this method allows researchers to make statistical inferences on questions such as whether the meaning of a word changed across time or if a phonetic cluster is associated… (More)
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@inproceedings{Sagi2009SemanticDA, title={Semantic Density Analysis: Comparing Word Meaning across Time and Phonetic Space}, author={Eyal Sagi and Stefan Kaufmann and Brady Clark}, year={2009} }