Information extraction involves the automatic analysis of large volumes of unstructured or semi-structured data to detect entities, their descriptions, associations and events. Information reflecting either new intelligence or changes to current knowledge are stored in a semi-structured relational index for use in populating the databases that drive visualization, link analysis tools and intelligence systems.
Semantex™ uses a hybrid extraction model, offering the best statistical, lexical and grammatical methods combined in a single platform, which provides better extraction performance than any single method alone. And Semantex goes beyond merely extracting entities; it generates the relationships and events that give a comprehensive picture of how the entities are related.
For a more in-depth look at our complete solution see the Semantex product page, or for a comprehensive description of our text analytics output see the Semantex extraction output.