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@aparrish
Last active October 11, 2024 01:03
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Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@DavidHarar
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Thanks!

@mikeolubode
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I was led here by a tutorial on word vectors from youtube. Thanks for the simplicity!

@yishairasowsky
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very good

@robertocsa
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Thank you for sharing this. Excelent job!

@avneesh91
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this is amazing, thank you for explanation!!

@prateekcaire
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Thanks!!

@adebiasi
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Very nice tutorial!

One question:
A word near the origin (0,0,0 ...) in the n-space has less possibility to be the result of an addition among words. As opposite, a word very distant of the origin could be the result of many possible additions among many words. Does this mean that complex concepts are far for the origin and basic concepts are near?

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