Job & Resume Parsing
Quick and easy parsing
Contextual Language Parser
ProRank has built a semantic language parser that is optimized to work with Search & Rank and is uniformly used across the platform to achieve greater accuracy through consistent interpretation of data. There are three components to the Contextual Language Parsing: Lexicon Library, Resume Parser, and Job Parser.
Lexicon & Metadata Library
ProRank has developed its own term library powered by natural language processor (NLP) technology to provide a contextual analysis of a candidate’s resume and standardize the various ways in which skills or terms are represented. Combined with a hierarchical relationship model and classification model, this powerful engine significantly improves ProRank’s ability to discover qualified candidates and reduces the rate of false positive matches.
How are ProRank’s parsing tools different?
Parsing engine that focuses on language structure rather than term libraries
Better and more consistent skill discovery
Real-time detection of emerging skills
Enhancement of the candidate’s resume using our term library, enriched metadata, and term standardization
All data is interpreted through a single, unifying lens through which all data is interpreted.
Resume Parser
ProRank’s resume parser converts resumes and CVs into a structured HR XML format that is ready for advanced search and matching. It is specifically designed to work with ProRank’s search capabilities and helps to ensure the highest quality results.
The resume parser has benchmarked well against the top competing services in the market. It is on par in identifying job and contact information. The key differentiator for ProRank’s resume parser is its superior skill and job role taxonomy normalization, resulting in more accurate searches and fewer false positives.
Job Parser
ProRank’s job parser quickly converts job orders, postings and vacancies into accurate search criteria. Instead of having recruiters manually interpret and input role requirements, they now only need to review the search criteria before proceeding to the results.
ProRank’s job and resume parsers use the same core skill and job role taxonomies to help provide the best results when searching, matching and creating analytics. Recruiters can use these taxonomies as is or customize them as they see fit.
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