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Show HN: Automated category tagging for any company

22 points by getcontext 11y ago

getcontext 11y ago
Hey everyone! With our MVP, we try to use concept extraction and classification to automatically provide a ‘company fingerprint’. Feel free to give it a try, all feedback is welcome! Thanks
matts9581 11y ago
It’s cool, I’m getting pretty accurate tags for the companies I’ve searched. How does this work?
- claudio_fedger 11y ago
  we start with some automated content acquisition, before we use nlp for keyword extraction and tagging. The company-tag description is then located in a huge tech-domain-specific vector space. From vector space similarities and a couple of heuristics, we derive the company classification.
peter637 11y ago
Pretty nice! The tagging is actually quite good. Is there any plans to provide an API? Would be awesome.
- getcontext 11y ago
  Hi Peter, thx for giving our hack a spin. I’m glad it worked for you :) Feedback encourages us to continue and maybe working on an API, stay tuned!
tohrmann 11y ago
not 100% accurate yet, but I like it. Any API-plans?
omarsmak 11y ago
Pretty neat! Love the company fingerprint btw!
spYa 11y ago
Great idea, but unfortunately I did not get results for some companies I’ve searched.
- getcontext 11y ago
  Thanks for trying it out, sorry if we did not find the companies you’ve searched for. What companies did you search? I’d like to investigate, where the problem comes from...
motjuste 11y ago
Interesting idea ... ton of potential, both for the application and the technology. For now a good little time waster. One question, what kind of data is being used for the fingerprint generation? Because, it is sometimes inconsistent with what is expected (checkout Boston Dynamics) (or may be TIL that BD concentrates more on social network than robotics). Anyway, thumbs-up
- getcontext 11y ago
  thx a lot for the feedback! Data is mostly scraped from websites etc. then our algo processes it. We are about to improve our underlying model, updates coming soon!

22 points by getcontext 11y ago

Hey everyone! With our MVP, we try to use concept extraction and classification to automatically provide a ‘company fingerprint’. Feel free to give it a try, all feedback is welcome! Thanks

matts9581 11y ago

It’s cool, I’m getting pretty accurate tags for the companies I’ve searched. How does this work?

claudio_fedger 11y ago
we start with some automated content acquisition, before we use nlp for keyword extraction and tagging. The company-tag description is then located in a huge tech-domain-specific vector space. From vector space similarities and a couple of heuristics, we derive the company classification.

peter637 11y ago

Pretty nice! The tagging is actually quite good. Is there any plans to provide an API? Would be awesome.

getcontext 11y ago
Hi Peter, thx for giving our hack a spin. I’m glad it worked for you :) Feedback encourages us to continue and maybe working on an API, stay tuned!

tohrmann 11y ago

not 100% accurate yet, but I like it. Any API-plans?

omarsmak 11y ago

Pretty neat! Love the company fingerprint btw!

spYa 11y ago

Great idea, but unfortunately I did not get results for some companies I’ve searched.

getcontext 11y ago
Thanks for trying it out, sorry if we did not find the companies you’ve searched for. What companies did you search? I’d like to investigate, where the problem comes from...

motjuste 11y ago

Interesting idea ... ton of potential, both for the application and the technology. For now a good little time waster. One question, what kind of data is being used for the fingerprint generation? Because, it is sometimes inconsistent with what is expected (checkout Boston Dynamics) (or may be TIL that BD concentrates more on social network than robotics). Anyway, thumbs-up

getcontext 11y ago
thx a lot for the feedback! Data is mostly scraped from websites etc. then our algo processes it. We are about to improve our underlying model, updates coming soon!