Whether you are running an MNC or a budding enterprise, recruitment is a critical aspect of your business’s growth and success. A business with the right people can work fast-paced toward achieving its goal.
Businesses that opt for a traditional recruitment process can find themselves amidst a very time-consuming and complex process, especially when it's about sorting out the CVs or resumes.
But many recruiters have started adopting the path of least resistance. As you can see, the ladders study demonstrated that recruiters are still trimming down the resumes for details and spending 6 seconds on average to review candidates' profiles. They are more likely to filter out the candidate pool quickly and shortlist the top 3-5 CVs.
Meanwhile, job seekers also spend a lot of time searching for companies and recruiters through different platforms. That’s where parsing comes into action!
Parsing fills the void between job seekers and recruiters by analyzing the candidate's CV and sorting the important information quickly. Read the document to understand parsing in detail and how to create a parsable CV.
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What is parsing, and how to make a parsable CV
1. Author
www.jobtatkal.com
Shashibala
Morya
What is parsing, and
how to make a
parsable CV?
JUNE 23, 2023
Want to know how parsing can benefit you? Read this
document to discover all about parsing — what parsing
is and how to make a parsing-friendly CV.
2. Table
of
Content
03
Overview
04
What is parsing?
09
Popular use cases of
data parsing
13
Possible reasons why
your CV did not parse
16
How can a job seeker
create a parsing-
friendly CV?
17
Conclusion
11
How job seekers can
benefit from creating a
Parsable CV
18
Frequently Asked
Questions
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OVERVIEW
Recruitment is crucial for both established
multinational corporations (MNCs) and emerging
enterprises, as having the right team is essential for
business growth. However, traditional recruitment
processes, especially in sorting through CVs and
resumes, can be time-consuming and complex.
In response to these challenges, many recruiters are
opting for a more streamlined approach.
Simultaneously, job seekers invest considerable time
exploring opportunities across various platforms.
Here, parsing plays a key role, bridging the gap
between job seekers and recruiters by swiftly
analyzing CVs, extracting crucial information, and
facilitating a quicker screening process. Creating a
parsable CV is essential for job seekers to ensure
their qualifications stand out in this fast-paced
recruitment landscape.
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WHAT IS PARSING?
Identifying the structure and extracting the data is known as parsing.
It is the process of converting raw or illegible data into a well-
structured and readable format that you can understand easily.
Parser breaks down the source input into smaller chunks or parts,
such as nouns (objects), verbs (methods), and attributes. Here is a
set of grammatical rules for a fictional language:
<sentence> ::= <subject> <verb> <object>
<subject> ::= <article> <noun>
<article> ::= a | an
<noun> ::= lion | dog | cat
<verb> ::= humans | fed
<object> ::= <article> <noun>
Resume parsing is one of the subsets of parsing that helps job
seekers get their preferred job by parsing their CVs, including
important information extraction from CVs.
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STAGES OF DATA PARSING
LEXICAL ANALYSIS
After receiving the raw, unstructured data in the parser, lexical analysis
is the initial step. Here, the lexer is a scanner or tokenizer that converts
the data stream into a sequence of tokens.
In this step, tokens are generated by setting up meaningful lexical units,
like delimiters {one or more characters that separate text strings.;
common delimiters are commas (,), semicolon (;), quotes ( ", ' ), braces
({}), pipes (|), or slashes ( / )} and keywords. Meanwhile, lexically
irrelevant information, like parentheses, comments, and white spaces,
are eliminated.
Parsing undergoes different stages to figure out which data to read for
analyzing and transforming. Let’s explore the data parsing stages in
detail.
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SYNTACTIC ANALYSIS
To better understand, Syntactic analysis, it is crucial to understand a
vital concept from computer science - context-free grammar. A
context-free grammar is a set of rules that defines the syntax of a
language. In simple terms, it is a computer code to define the valid
sequence of tokens.
The syntactic analysis examines tokens generated during lexical
analysis to convert them to a meaningful sequence with pre-defined
rules.
As a result, there will be a parse tree — a hierarchical structure — to
define what elements of initial input are meaningful along with their role.
For instance, the received input is (X+4)*5. Let’s understand what the
parsing tree will be like for this input.
Additionally, there is also semantic analysis, which helps enrich the data
— such as complete, incomplete, positive, negative, etc — parsed
through syntactic analysis.
STAGES OF DATA PARSING
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WHAT ARE PARSING TECHNIQUES?
There are two types of parsing techniques used to examine the raw
data, namely:
TOP-DOWN PARSER
A top-down parser is a method that parses inputs from left to right
using left-most derivation (LL). It starts processing from a string that
validates the input by expanding from the leftmost element of the parse
tree. For example, starting from the root and proceeding toward the
leaves.
Top-down parsing, also known as recursive descent parsing,
backtracks after each decision point to double-check accuracy.
BOTTOM-UP PARSER
A bottom-up parser is a method to parse input from left to right using
the right-most derivation (LR). It starts processing a string by
expanding the rightmost element of the parse tree. For example,
starting from the leaves and proceeding towards the root.
Bottom-up parsing is also known as shift-reduce parsing, which
reduces the word from a grammar rule at each stage in the string, and
this approach reduces the string until it is completely checked.
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POPULAR USE CASES OF DATA PARSING
Now you have the basic information about parsing, let’s explore how
the top industries are leveraging the power of data parsing:
FINANCE AND ACCOUNTING
Data parsing is used by several banks and NBFCs to scrape through
billions of customer data and extract critical information from apps.
With this parsed data, they analyze credit reports, investment
portfolios, income verification, and offer better insights about
customers. The finance sector uses parsing to establish interest rates
and loan repayment periods post-data extraction.
SHIPPING AND LOGISTICS
Industries that offer online products or services extract billing and
shipping details using data parsers. Parsers help them to arrange
shipping labels and ensure the correct data format.
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POPULAR USE CASES OF DATA PARSING
REAL ESTATE INDUSTRY
Here, lead data is extracted from emails of property owners and
builders. The data extraction for CRM platforms can be done with
parsing technology and documentation process to forward it to real
estate agents. Parsing plays an important role in the real estate industry
for making purchases, rentals, sales, and more.
INVESTMENTS ANALYSIS
The investment world is full of information from multiple sources, and
factors like the stock market, bank rates, earnings, and currency affect
their market. A little delay can cause severe financial losses to
investors. Therefore, data parsing saves investors by enabling them to
analyze large datasets and receive required details in a structured
format.
HUMAN RESOURCE
The recruitment industry has drastically adopted AI. One of its aspects
is resume parsing, which plays a significant role in connecting job
seekers to recruiters. With resume parsing, recruiters can extract vital
information from candidates' CVs that match their criteria.
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HOW JOB SEEKERS CAN BENEFIT FROM
CREATING A PARSABLE CV
Undoubtedly, you can directly connect with companies or recruiters,
but it consumes a large amount of time in searching and applying for a
job. Consider the parsing technology's role in online job applications for
boosting visibility and securing your dream job.
It helps in highlighting your CV in front of recruiters. Let’s discover the
benefits of having a parsable CV.
HIGH-VISIBILITY
Recruiters or Talent Acquisition Specialists search for candidates in an
ATS as we search for food using a food ordering app. The recruiters get
a lot of profiles to choose from, and if your CV isn’t parsable, you won’t
appear in the search results regardless of the relevancy.
MATCHING JOB REQUIREMENTS
When recruiters look out for candidate profiles using job sites, they
receive profile recommendations based on their keyword inputs. If your
CV is not parsed correctly, it will fail to show your profile even if it
contains relevant search keywords.
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HOW JOB SEEKERS CAN BENEFIT FROM
CREATING A PARSABLE CV
PLATFORM-FRIENDLY
Parsing-friendly CVs are versatile and can be shared across multiple
platforms like online job portals, company websites, and email
attachments. It maintains user readability and integrity with various
systems and devices.
You can try JobTatkal — an AI-powered software that can parse your
CV or resume and grab the job opportunities you are looking for, and
help recruiters quickly reach out to you if you have successfully
uploaded and parsed your CV.
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POSSIBLE REASONS WHY YOUR CV DID
NOT PARSE
Now that you are well versed in the importance of having a parsable CV
for job seeking, you might be zealous to upload your CV and broadcast
it among recruiters. But what if you get stuck while uploading your CV
or receive an error message like “Parsing failed” or “some issues in
parsing your CV”?
There may be several reasons for failed data parsing, but we have
enlisted some common reasons when CV didn’t parse.
WHY DID MY CV PARSING FAIL & HOW CAN I
RESOLVE IT?
Here is a troubleshooting section for you where we will explore the
possible reasons why your CV did not parse and the ways to resolve
them easily.
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PROBLEM 1: NOT A PARSING-FRIENDLY CV
If your CV contains images, watermarks, unselectable text, graphics,
and illustrations, then your CV is not ideal for parsing. Additionally,
there are chances that your file may get corrupted.
Solution: Make your CV parsing-friendly
To make it a parsing-friendly CV, use plain text and extensions like pdf
and docx. You should avoid the usage of images, watermarks,
unselectable text, graphics, and illustrations.
PROBLEM 2: LARGE FILE SIZE
Another reason can be the large file size of your CV, which is greater
than what the platform permits for parsing the documents.
Solution: Check the size of your CV
Usually, 2.5 MB is the maximum file size to parse any CV, or you can
once check the website to know the maximum file size.
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PROBLEM 3: PASSWORD-PROTECTED CV
Your CV can’t be parsed if you are using a password-protected file for
parsing, as the parser will not be able to access the document’s
content.
Solution: Remove password protection before uploading
You need to make sure that your CV is free from password protection.
PROBLEM 4: TECHNICAL GLITCHES
If your CV is free from the above-mentioned issues and still unable to
get parsed, it might be a network or server issue.
Solution: Check your network connection
You can restart your network connection (or retry after some time).
Sometimes, a temporary glitch in the browser can be a reason for failed
data parsing. Perhaps, clearing the browser cache and refreshing the
page can help.
16. “Do I need to create a new CV for optimum parsing?” If that's what you
are thinking right now, then we have some good news. You don’t need
to create a new CV from scratch; just a few cosmetic tweaks can turn
your non-parsable CV into a fully parsable one.
If you don’t want to miss the chance of getting your CV highlighted in
front of recruiters, we have curated some tips to enhance your resume
and make it a parsing-friendly CV.
Try using a standard font style like Calibri or Cambria, or other Sans
fonts because fancy fonts might confuse the parser while
processing your data.
Make sure to use a URL instead of a hyperlink because parsing
doesn’t process the hyperlinks in your data.
Avoid using tables and columns because it will be difficult for the
parser to understand the right data connection in tables.
Using proper headings like “email”, “summary”, “academic detail”, “
experience”, “skills”, “designation”, “contact”, “location”, etc. It
makes your CV detail-oriented and makes it easier for the parser to
structure the information.
Make sure that your CV is in reverse-chronological order, starting
from current work experience to the oldest.
Avoid using extra spacing in your CV
You can also download your LinkedIn profile as a PDF, which can act
as a highly parsable CV.
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HOW CAN A JOB SEEKER CREATE A
PARSING-FRIENDLY CV?
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CONCLUSION
Now that you are covered up with the fundamentals of parsing and all
the things related to it, what else are you looking for? It’s time to put
things into perspective!
Upload your CV on JobTatkal and witness the power of parsing. As a
cherry on top, you will also attract relevant job opportunities using our
platform.
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FREQUENTLY ASKED QUESTIONS
1) WHICH INDUSTRIES CAN BENEFIT FROM PARSING?
There are several industries that need the data in different forms. For
instance, finance and accounting, shipping and logistics, real estate
industry, investment analysis, human resource, and many other
industries that work with users' data in large numbers are using parsing
technology.
2)WHY SHOULD I USE RESUME PARSING?
Resume parsing extracts the key components of your CV, like name,
contact details, work experience, skills, etc., and turns it into a well-
structured data format that helps job seekers in creating high visibility
with parsing technology and finds their dream job easily.
3) HOW CAN JOBTATKAL ASSIST JOB SEEKERS?
JobTatkal is an AI-powered job site that helps job seekers to upload
their CVs and attract recruiters with their parsed CVs. Recruiters will be
able to access your profile when it matches their job description.
19. Looking for a dream job?
Scan the QR code to upload your CV or visit
www.jobtatkal.com