What is Resume Parsing?

One key benefit of an applicant tracking system is the ability to use a feature called resume parsing. Essentially, resume parsing is used to read and extract information from a resume.

There are several different types of resume parsing systems being used today. They are the keyword-based parser, grammar-based parser and the statistical parser. Keyword parsers use simple heuristic algorithms to identify a keyword and classify it based on associated text surrounding the word, phrase or pattern. For example if it identifies a zip code it will interpret the surrounding words as an address. Conversely, it will identify a set of date ranges as work experience or education. Grammar based parsers use preloaded grammar rules to try and understand the context of every word in the resume. They are able to combine words and phrases to make complex structures which can capture the meaning of every sentence. They are able to capture more detail than a keyword parser and can distinguish between different meanings that a word or phrase may have in different contexts. Finally, statistical parsers use numerical models of text in order to identify structure and have the ability to distinguish between different contexts of a word or phrase depending on how it is used.

Recruiters can use to search across an applicant tracking system for an applicant that matches certain criteria. Conversely, resume parsing can be used during the employment application process to reduce the applicant’s data entry when applying. During the buying process, ask applicant tracking vendors what type of resume parsing they use and where so that you can maximize its benefits.

Interested in learning more about applicant tracking and resume parsing? Contact us for a free demonstration at http://lp.mystaffingpro.com/demo

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