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- Match resumes to job descriptions
- Individualised adverts based on social media
- Recommend & categorise content automatically
|1. Your problem||2. Roistr's solution||3. How you benefit||4. Try a demo|
|You have lots of plain language information but can't use it without hours of analysis.
This takes a lot of time and effort.
|Roistr's Semantic Relevance Engine can analyse that information like a human so you can discover the meaning.
With that, you can cluster or match similar documents and compare them against each other.
|You have established order from chaos in a way that makes sense to humans.||Enter a Twitter name, we'll use those tweets to select the best from Amazon's Top Ten current best-selling books.|
|What is semantic analysis||is when we build information structures that approximate how humans use language. We can use semantic analysis to identify how different concepts relate to each other which lets us access the underlying concepts: it's a stage in understanding language, though we're still very far from having a system where a machine can understand language like a human.|
|What use is it?||
If we understand how different concepts in language relate to each other, we can analyse them much like a human. Don't get me wrong, what we do is just a very basic form of understanding language that works in a human-like way, but already, our semantic relevance engine can spontaneously categorise documents just by using the content. Other practical uses are:
|How easy is it to use?||Very simple. We have a RESTful API which is described in our API documentation.|
|Who uses Roistr?||We are under non-disclosure agreements not to divulge but we do have customers. I really wish I could say more because the work we're doing is very exciting.|
|How much does Roistr cost?||
Currently it costs nothing but excessive activity is likely to be throttled but we can license in different ways: