If there were two questions I always get asked about Evri’s technology they would be:
- What is your “secret” sauce?
- If that’s how you do it, how do you stay current with the amount of new content generated daily?
In this short video blog post, I talk a little bit more about Evri’s Natural Language Processing (NLP) approach to understanding, categorizing and indexing content. I also touch on some of the components of our document processing, clause processing and linguistic normalization and how the NLP processes interact with our Entity Store – a proprietary, massive, structured data store of millions of canonical entities and the key ingredient to precise disambiguation of entities in unstructured content (not to mention new entity recognition, tagging, auto-categorization and topic relevancy.)
Pretty straightforward stuff, but worth a two minute look. Enjoy!