Resume Parser

Supriya Nigam is a lead Content Writer & Digital Marketing Strategist at CareerBuilder India. Her passion for helping people in all aspects of digital marketing flows through in the expert HR Technology industry coverage she provides. Also, an avid Yoga practitioner.

In today’s recruiting world social media and online recruitment have become the order of the day. Web sources including, professional networking sites (LinkedIn), Job boards, search engines, portals, social networking sites (Twitter, Facebook), publications and forum, etc. – have now become the hunting ground for recruiters to look for resumes.

However, the challenge here is how to parse resumes, and spend minimal time in shortlisting the right candidate for a right position.

Let’s understand more about Resume Parser and explore real reasons why HR leaders must think about investing in good parsing technology.

What is a Resume Parser?

Resume parser is a tool enables HR professionals to process online resumes by extracting data; subsequently converting it into structured data (information). The parsing technology empowers recruiters to electronically collect, store and organize the information contained in the resume.

How can it help?

Resume parser contributes in creating a far more efficient and convenient resume and application screening process. Once the information is obtained, it is quickly searchable using phrases and keywords. The parsed resume bring forth relevant results as per search query saving time as compared to manual excel sorting or aged Applicant Tracking Systems.

Understanding the semantic search

In literal meaning, “Semantics” is the study of meaning, intrinsic at the levels of sentences, words, and phrases.

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Semantic Search most often used to illustrate searching beyond the precise word match and into the meaning of phrases and words at the contextual and conceptual level. And, sentences at the grammatical level.

For instance, for sourcing the “Oncology” specialist in the healthcare domain, a semantic search enabled resume parser will yield matches of resumes containing related terms like cancer, tumor, and lymphoma, etc.

As another example, when searching candidates specifically with “Java” skill set semantic search can be accomplished at the conceptual level and deliver matches on linked terms like servlets, EJB, and J2EE, etc.

There are multiple resume parsing tools available. Some of them are available for free, while others require subscription (license) purchase. However, the highly recommended one is “Textkernel.” (Also, known as Talentstream Resume Parsing)

The integration of Textkernel’s technology leads to better historical records, less time wasted on reviewing data in your ATS and speeds up finding potential candidates and allows time to talk to them. Steven Plehier (Deloitte)

Resume Parser + Semantic Search = Textkernel

 

Textkernel is a revolutionary advancement in the category of resume parser that not just extract, search and match right resume for the right job. Additionally, it is a equipped with semantic search technology that makes it the best in the industry. It is a multilingual CV parsing tool to capture applicant data straightforwardly.

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When compared to other resume parsing tools accessible in the market, Textkernel offers unique benefits to recruiters with the help of following features:

1. Extract

Extract resume parsing can parse resume (and CVs) in a wide array of languages. It automatically recognizes the social media profile or the language of the resume recruiter have acquired. Currently, it supports 17 global languages – Czech, Chinese, English, French, German, Russian, Slovak, and Swedish, to name some.

2. Search

Highly advanced semantic search technology used in Textkernel’s Search feature. It has easy to use interface, which takes the complexity out of searching. Recruiters can easily find the finest candidate with the right combination of criteria. It empowers HR teams to search by synonyms and related terms. Additionally, it allows spelling correction, career path searching, search by location and more.

3. Match

It combines the comprehensive knowledge of the language technology and job market. Based on the job description, it automatically does a search and matches this to external sources (job portals like CareerBuilder, Monster, Dice, TechFetch and more) and existing databases (bulk of offline resume data).

4. Sourcebox

It optimizes the entire recruitment workflow right from incoming resumes to processed resumes with the help of Sourcebox. It can automatically monitor e-mail boxes for applications, de-duplication, and automatic distribution of applications to the right person within an organization and quick classification of attachments and CVs (and resumes).

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Here are a few other interesting features

Jobfeed is a Textkernel’s Big Data tool for jobs that robotically searches the web every day for new jobs. In other words, Jobfeed searches and analyze online job vacancies and turn them into useable data.  Additionally, Harvester is another smart application by Textkernel that collects all new jobs from the specified websites. Subsequently, the job ads found are published automatically and immediately on the job board as well as enlisted in recruitment system.

In resume parsing technology there is no parser equivalent to Textkernel to surpass the “near human accuracy” level. The organizations can accelerate their hiring process using the best available resume parsing tool. Recruiters can deliver a better candidate experience with rapid response time.

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