Comments (2)
Madhu009
commented on July 28, 2024
a emdeding vector represents the word. so similar words have similar emebeding (we can use a distance metric to find out the distance ) .
This thread has different ways to handle please check it out
https://stackoverflow.com/questions/40074412/word2vec-get-nearest-words
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Mustyy
commented on July 28, 2024
Hey @Madhu009
Thanks for the reply
I understand embedding vectors, I was just wondering if there was a quick workaround for the code so that I can plug in a word and return top 10 similar terms.
I tried using the tensorflow board but it wasnt successful either.
Currently researching other methods too
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