[neilk]

I like it a lot, but it’s also frustrating. Perhaps it’s being hugged to death right now but the lookups are very slow, so when I disagree with the results it’s a bit painful. If the results were quicker it would not be so bad, I could try different things.

I was a bit miffed that “currency” was not considered to be related to “mark”. Similarly I thought I’d found the perfect word between “ski” and “trust”, “mogul”, but once again your program disagreed.

Also, please help the player understand the basis of the word relations. I was surprised that the shortest path between “investor” and “mark” was a non-dictionary word: “zuckerberg”. Presumably you are not using WordNet but some corpus of embeddings. If you say where he corpus comes from I can tailor my guesses. Conversely though, the shortest path feature is good because it teaches me what works. Maybe a top 5 would be even better.

You’re onto something though, keep at it!

[SamBam]

I saw "mark" and immediately though "scam" (which I figured would be easy to get to from "investor," but it told me that "scam" and "mark" share only 2% similarity.

I can't even go from "investor" to "money" (16%). I'm not sure how "Zuckerberg" is closer to "investor" than "money" is.

[kimbernator]

I had the exact same first guess. Easy, I figured - that's a perfect connection between them. It just seems like the logic dictating how "close" two words are is opaque and incomplete.

[johtso]

I thought Deutsche Mark..

[CrazyStat]

Exactly my feelings. The relatedness calculation needs to be an order of magnitude faster to make iterating on an idea fun.

After seeing the Zuckerberg path I tried Cuban, which is not related to Mark or investor despite Mark Cuban being far more famous as an investor than Mark Zuckerberg.

[nilstycho]

"Cuban" was my first try. I'm surprised that "Zuckerberg" works so well given how poorly "Cuban" performs.

[pflats]

Zuckerberg almost always refers to one specific person; Cuban is a last name of an investor and also describes things related to the nation of Cuba.

[tomthe]

I agree. This would be a great usecase for the fastText.js library. It can calculate similarities of words based on embeddings in the browser - no need to wait for a slow php script.

[sparsely]

I felt like "market" should have got better than 6% related score - investors participate in stock markets, and they often mark-to-market.

[obituary_latte]

Agreed--I think it's overloaded at the moment. Not clear how it's supposed to work since the responses are so delayed. Looks fun, though!

[albrewer]

I thought investor -> currency -> mark would be a slam dunk but apparently "mark" here is not related to the German Mark.