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[D] Threshold for rejecting word embedding similarities

I have a problem where I have certain set of target words and I need to use them to match with other words that are found in new csvs. I was wondering if there are any good approaches to determining the threshold for rejecting word similarities. I was thinking using a random sample of 10k words and plot their similarities (10k*9.99k/2) but I am not sure whether this is the right approach. Or should I use the distribution of the similarities of the target words on a vocabulary and choose a percentile cutoff? Any ideas?

submitted by /u/radcapbill
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.