A Primer On CV Parsing

Virtual job boards have made the task of advertising job vacancies easy. That and maybe the volume of people that are looking for work. Recruitment chiefs no longer suffer the dilemma of not having even a single candidate to present to their clients. A survey conducted by Pew Web Research claims any single online job announcement receives 300 job applications on average. That's a lot of resumes for recruiters to handle. Considering a hiring officer takes around five minutes to look over the resume, define if it is in the firm's recruitment database and, if it does not yet exist, add it in the database, he will be able to process only twelve resumes each hour. That's less than 100 resumes in a day. Recruiting officers simply have too many important tasks to allot three days and an hour simply updating databases.

Enter the CV parser. It is also called resume parser, CV extracter and resume extracter. It's a spin-off of the data analyzing and extracting systems used by U.S. military intelligence in the 1990s. A CV parser is specialised computer software that takes information from resumes, sorts the information and stores it in the recruitment database. The most important benefit from using a CV parser is the serious amount of time that can be saved by taking the tedious and repeated jobs from human hands. It permits recruitment personnel to focus on the more human-centric sides of their business, such as conversing with clients and interviewing applicants.

There are nonetheless, disadvantages to the utilisation of CV parsing. For one thing, CV parsers, no matter how wonderful they are, are never 100% correct. This is down to the fact that resumes come in numerous formats, layouts, languages, content and file types. No matter how intelligent our computers have become, they remain a bunch of machines without the ability to understand the complexities of the human language. But that's O.K, considering human data sorters are on average only 96% accurate and software parsers are at roughly 90% to 95%. Is it worth the six p.c. points less in precision to save tons of time? Yes, for most recruiting firms, it most certainly is.

How Does CV Parsing Work?

The best CV parsers only require that you drag the files from your hard drive into your database. They can recognize most CV file types, including .doc, .pdf and .rtf. They can also link to your email so that anything received from applicants thru e-mail are also automatically stored in your database. The software then extracts the information stored in these files and attempts to organize them into a variety of fields, such as skills, qualifications and work history. How a CV parser recognizes different types of info is a touch too technical for recruiters to even bother with, but here's a layman's glance at the other ways a CV parser works.

1. Keywords. It looks for keywords that can be utilized to spot other elements of your Resume. As an example, if it finds a five-digit number preceded by two letters and a space, the software interprets it as a postal code in the U.S. And assumes that the text before it's a street address. Naturally, it may be wrong. This explains why keyword-based parsing isn't as accurate as the other 2.

2. Grammar. The software is fed a language's grammar rules so that it distinguishes phrases and words in different combinations. This type of parsing is often more accurate than keyword-based.

3. Statistical. It utilises numeric models to interpret language. Precisely how that occurs is hard to explain, but we know that recruiters still have to mark the information they'd like to be extracted from the resumes.

CV parses rely on using different combinations of keyword-based, grammar-based and statistic-based algorithms to investigate and organize info into the most accurate classes possible.

In spite of its otherwise minimum accuracies, a CV parser is beneficial to any recruitment firm, especially to those who have taken their services to the Net. It streamlines the hiring process by getting rid of the drudgery of manually encoding information into your database and processing lots of resumes in an effective and fast demeanour. A CV parser also opens up more time to focus improving candidate experience along with providing better services to your customers. It's a valuable business tool all in all.

Jane Clements - eBoss Recruitment Software

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