How 3DIQ Uses Document Parsing

3DIQ uses resume document parsing to create candidate profiles within the system

Resume Editing

Parsing is used to convert PDF and Word document resumes into HTML files.

Resume parsing is also the function that allows users to make minor edits to candidate resumes within 3DIQ. Resume parsing technology is constantly improving. As a result, the 3DIQ resume editing experience continues to improve with a goal of a seamless user experience.

Skills Parsing

Resume parsing is also used to generate and display skills and certification tags in 3DIQ profiles. These skills tags add depth to candidate resumes and provide clients with more information on candidate experience.

How Parsing Works

3DIQ uses a third-party tool for parsing. The tool extracts and classifies thousands of attributes about the candidate and provides a foundation for the semantic search of candidate data. They have the industry’s most comprehensive skills taxonomy—in every supported language—covering about 60 top-level categories, over 600 subcategories, and about 25,000 skills, including skills grouped into synonym groups. Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the resume to generate more relevant results.

AI and Machine Learning

Finally, 3DIQ parses job descriptions to provide 3DIQ scoring data. Parsed job descriptions are combined with a resume to generate the candidate's 3DIQ score.

3DIQ uses the world's most advanced recruitment AI Machine Learning tool to generate scoring details. To provide scoring data in Bullhorn, 3DIQ requires a candidate resume document PLUS a job description populated in the "Job Description" field in Bullhorn.