<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>word-vectors on Γραφεμας</title>
    <link>https://grafemas.net/tags/word-vectors/</link>
    <description>Recent content in word-vectors on Γραφεμας</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en</language>
    <lastBuildDate>Fri, 18 Feb 2022 22:01:06 -0800</lastBuildDate><atom:link href="https://grafemas.net/tags/word-vectors/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Ancient Greek Word Vectors</title>
      <link>https://grafemas.net/blog/social-semantics/word-vectors/</link>
      <pubDate>Fri, 18 Feb 2022 22:01:06 -0800</pubDate>
      
      <guid>https://grafemas.net/blog/social-semantics/word-vectors/</guid>
      <description>Word vectors are a particularly useful tool for the investigation of ancient discourses. They allow us to explore associations of concepts that pervade either an entire culture or a group of people. Recently, Kozlowski, Taddy, and Evans (2019) used word vectors and embedding to study the semantics of class structure in 20th-century American cultures, a publication that shows exciting results. Using diachronic word embeddings trained on large corpora of books, the authors traced how the semantic associations of class-related terms (like “rich,” “poor,” “working class,” or “elite”) evolved over time, revealing shifting ideological alignments in American discourse.</description>
    </item>
    
  </channel>
</rss>
