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    <loc>https://representation.ai/blog/2017/political-vector-projector</loc>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
      <image:caption>My hometown newspaper, The Washington Post, triumphs.</image:caption>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
      <image:caption>An example of NOMINATE. Note that, by default, NOMINATE estimates two dimensions of ideology. Most of the time, however, congressional votes are uni-dimensional. It is therefore common to simply use the first dimension in time series analyses.</image:caption>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
      <image:caption>Pearson's r = 0.4758, Spearman's rho = 0.4812</image:caption>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
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      <image:title>Blog - Unsupervised Learning of Political Ideology by Word Vector Projections</image:title>
      <image:caption>Americans hate big government more than Darth Vader, which doesn’t make sense considering the Galactic Empire is the epitome of big government.</image:caption>
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    <loc>https://representation.ai/blog/2015/10/9/dc-coffee-roasters-review</loc>
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    <lastmod>2017-07-25</lastmod>
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      <image:title>Blog - A Medium Scale Review of Coffee Roasters in DC</image:title>
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    <loc>https://representation.ai/blog/tag/The+Political</loc>
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    <loc>https://representation.ai/blog/tag/The+Coffee</loc>
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    <lastmod>2024-01-07</lastmod>
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    <loc>https://representation.ai/about</loc>
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    <lastmod>2025-04-03</lastmod>
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      <image:title>About - Make it stand out</image:title>
      <image:caption>With my beloved PhD advisor, Ellie Pavlick, after my thesis defense.</image:caption>
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      <image:title>About</image:title>
      <image:caption>With my beloved students, Qinan Yu and Alyssa Loo, after their first co-first-author paper. Qinan was accepted into Stanford PhD, and Alyssa was hired by Google DeepMind (Blueshift team).</image:caption>
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