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 artificial intelligence research papers topics is viagra 100mg too much sheridan baker thesis nexium side effect problems go to site reagan scholarship essay follow site viagra pictures niu dissertation guidelines source link go site essay on significance of newspaper new essays on the grapes of wrath precio de cytotec pfizer follow site biographic definition constitution and articles of confederation essay open university past exam papers english viagra dosage vs cialis dosage essay topics about personal experiences university of denver phd creative writing siemens master thesis follow basic poetry terms persuasive research paper topics middle school source site source link 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.