Assess how important a piece of data is in context to a specific domain just like a human expert. Using the next generation of natural language processing and the latest developments in deep learning, the machine is able to understand the meaning of a piece of information within a specific area of expertise i.e. finance, real estate, marketing, etc. Articles can now be intelligently appraised and a score can be set to determine how important and relevant any piece of information is. Categorize and distill domain-specific information with artificial intelligence, just like a human expert.
The model is built using a semi-supervised approach and is very agile in understanding and operating within different domains
Users can configure the model with a numerical score and have the freedom to choose their own threshold to differentiate between relevant and irrelevant information
The scoring can be used both to extract important, as well as, ‘potentially important’ pieces of text.
The model intelligently learns and adapts to user-specific relevant texts, which is dynamically adjusted for within the knowledge function providing ever-increasing value