Highly Accurate Resume Data Parsing with Digital Resume Parser
With so many resumes to sift through, shortlisting applicants, organizing interviews, and so on, recruitment can become a lengthy process and a challenging responsibility. To say the least, sifting through each candidate's CV in order to shortlist the ones who are the greatest fit for the job can be time consuming. HR and recruitment teams can now employ resume processing software to make this stage faster and more efficient.
A resume parsing platform is a platform powered by artificial intelligence that recognizes and extracts essential information from resumes of various forms and presents it in an organized style for simple evaluation.
A strong AI-based resume parsing platform such as Digital Resume Parser (DRP) is an example. It is a product of The Digital Group (T/DG), and it offers an automated solution for collecting intelligent data from candidate resumes, allowing HR and Recruitment teams to remove the time-consuming human data extraction procedure. This, in turn, saves the team time and effort by automating the data extraction, processing, and storage processes. The extracted data is transformed into machine-readable formats such as JSON and XML.
Advantages of Digital Resume Parser
Given below are the key benefits of using the Digital Resume Parser.
- Intuitive Summary
- I/O Formats
- Seamless Integration
- Accelerated Results
- Privacy & Security
- Customizable Services
Highly Accurate Data Extraction with Digital Resume Parser
So, we see that one of the biggest benefits of using a resume parsing platform like Digital Resume Parser is the accuracy that it brings. In other words, the Digital Resume Parser eliminates the errors that often resulted from the tedious task of having to go through hundreds of resumes manually, in order to gather relevant data for the database. The Digital Resume Parser operates at an accuracy level of 95%, which makes a world of difference to the way the HR/Recruitment team looks at resume processing.
The high accuracy of the DRP resume parsing platform means the Recruitment team need not again worry about missing out on important data in resumes that come in a huge variety of layouts and structures, not to mention the variations in file formats as well.
Here’s a glimpse of how the Digital Resume Parser works.
So, one might wonder what makes the new age Resume Parsing platform so accurate? Well, we need to thank Artificial Intelligence here, or to be more specific, Natural Language Process (NLP) coupled with Machine Learning.
NLP offers several features that are significant for successful resume parsing, such as Acronym normalization that detects multiple acronyms of a word and normalizes them for uniformity of data and easy search. There is also Stemming that reduces the verb to its root form by removing the ‘ing’ and other suffixes. Another feature of NLP that works to make resume parsing effective is entity extraction that allows the parser to extract entities according to pre-defined categories such as names, dates, places, organizations, email addresses, social media accounts, skills, etc.
As NLP continues to witness advancements in technology, we are all set to experience resume parsers with 100% accuracy, which would definitely make the recruiters happy and allow them time to focus on more significant tasks like building recruitment plans and strategies. Want to witness a highly accurate resume parsing platform? Visit the Digital Resume Parser website or drop us an email on email@example.com and our team will get in touch with you.