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Semantic Density Analysis in Linguistics by Jeremias Rivera is a document available to read on EtoBox.
What is Semantic Density Analysis in Linguistics about?
This document proposes a new statistical method for detecting and tracking changes in word meaning over time based on Latent Semantic Analysis (LSA). It involves calculating semantic vectors for each occurrence of a word based on surrounding context, and measuring the "density" or clustering of these vectors to determine how consistently a word was used. The method is applied to analyze changes in words like "dog", "do", and "deer" in early English texts, and to examine relationships between phonetic forms
- Author
- Jeremias Rivera
- Language
- EN