Powered by DataScava’s unstructured data miner

Powered by DataScava’s unstructured data miner, TalentBrowser gets the most from the raw text on resumes, profiles, and job descriptions, working alone or with your existing solutions 24/7.

It pinpoints, measures, and matches skills, experience, roles, and more about applicants, previously-sourced candidates, and in-house talent, using business and domain-specific language you define and prioritize.

Our auto-generated weighted topic scores and other structured metadata are available for use with AI, LLMs, Talent Solutions, BI Tools, People Analytics, Workforce Planning, and Resource Management.

Automated Skills Analytics

Automated Skills Analytics algorithms generate millions of Weighted Topic Scores and other value-added visible metadata from your resumes and profiles — about each person’s skills, roles, experience, education, and more — to unlock the value of incoming applicants, previously-sourced candidates, and your existing staff.

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Domain-Specific Search

TalentBrowser uses DataScava’s Domain-Specific Language Processing (DSLP), which works as an adjunct or alternative to Natural Language Processing (NLP), and Tailored Topics Taxonomies, which lets you select, edit, create, weight, and refine your topics of interest in real-time for use in mining your resumes and profiles.

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Weighted Topic Scoring

Our Talent Matching uses patented Weighted Topic Scoring and Tailored Topics Taxonomies you define to match all of your resumes and profiles from existing staff, talent pools, new applicants, and referrals across all open needs automatically, filtering out those who don’t meet your minimum criteria in every topic.

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