Louis Teitelbaum
@louisteitelbaum.bsky.social
Computational Social Psychology @ Ben-Gurion University, Distributional Semantics × Spread of Ideas. Co-author of https://ds4psych.com/
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You may think good and evil are opposites, but your embedding model might think: “Those are both moral judgements! Very similar!” If your construct has an opposite, consider using an anchored vector.
You may think good and evil are opposites, but your embedding model might think: “Those are both moral judgements! Very similar!” If your construct has an opposite, consider using an anchored vector.
June 24, 2025 at 2:10 PM
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You may think good and evil are opposites, but your embedding model might think: “Those are both moral judgements! Very similar!” If your construct has an opposite, consider using an anchored vector.
You may think good and evil are opposites, but your embedding model might think: “Those are both moral judgements! Very similar!” If your construct has an opposite, consider using an anchored vector.
New conceptual review + tutorial on text embeddings out in #APA_Journals w/ @almogsi. Beginner-friendly, but experts will find spicy new takes as well. Tag a colleague who’s still counting words... #RStats #tidyverse #quanteda
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June 24, 2025 at 2:10 PM
New conceptual review + tutorial on text embeddings out in #APA_Journals w/ @almogsi. Beginner-friendly, but experts will find spicy new takes as well. Tag a colleague who’s still counting words... #RStats #tidyverse #quanteda
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