How does it work -- Nalantis

Nalantis' solutions are based on proprietary semantic technology - a set of techniques to find meaning in unstructured text, and to use meaning to find other texts. Finding meaning is done by analyzing text linguistically, mapping words and expressions onto a ConceptNet (a semantic network built from nodes representing words or short phrases of natural language, and labeled relationships between them) and using powerful semantic pattern matching to combine these concepts into meaningful entities. Machine/Deep Learning and Human Linguists are used to build these ConceptNets semi-automatically and API's are in place to scale the companies' Natural Language Understanding products rapidly. The basic semantic analysis and matching engine is language and domain independent. This means that whenever the engine has to handle a new domain, a new ConceptNet has to be built.