Check out this guest blog post published by big data site KDnuggets about DataScava’s customizable Domain-Specific Language Processing (DSLP) and patented Weighted Topic Scoring (WTS), the unstructured data mining technology that powers TalentBrowser and keeps the human in command.
DataScava converts the raw unstructured text on your resumes and profiles into structured data points for your use in automated job matching and other people initiatives.
Unlike NLP solutions, DataScava uses your domain-specific language instead of general linguistic and semantic libraries. It provides a “white box” approach you can see, control, and measure that is more precise than the output of Semantic and Boolean systems.
TalentBrowser powered by DataScava helps you target the right people, for the right jobs, faster.