<s>
Resume	B-Application
parsing	I-Application
,	O
also	O
known	O
as	O
CV	B-Application
parsing	I-Application
,	O
resume	B-Application
extraction	I-Application
,	O
or	O
CV	B-Application
extraction	I-Application
,	O
allows	O
for	O
the	O
automated	O
storage	O
and	O
analysis	O
of	O
resume	O
data	O
.	O
</s>
<s>
The	O
resume	O
is	O
imported	O
into	O
parsing	B-Language
software	O
and	O
the	O
information	O
is	O
extracted	O
so	O
that	O
it	O
can	O
be	O
sorted	O
and	O
searched	O
.	O
</s>
<s>
Resume	O
parsers	B-Language
analyze	O
a	O
resume	O
,	O
extract	O
the	O
desired	O
information	O
,	O
and	O
insert	O
the	O
information	O
into	O
a	O
database	O
with	O
a	O
unique	O
entry	O
for	O
each	O
candidate	O
.	O
</s>
<s>
Many	O
parsers	B-Language
support	O
semantic	O
search	O
,	O
which	O
adds	O
context	O
to	O
the	O
search	O
terms	O
and	O
tries	O
to	O
understand	O
intent	O
in	O
order	O
to	O
make	O
the	O
results	O
more	O
reliable	O
and	O
comprehensive	O
.	O
</s>
<s>
Machine	O
learning	O
is	O
extremely	O
important	O
for	O
resume	B-Application
parsing	I-Application
.	O
</s>
<s>
Rule-based	O
parsers	B-Language
use	O
a	O
predefined	O
set	O
of	O
rules	O
to	O
parse	B-Language
the	O
text	O
.	O
</s>
<s>
This	O
leads	O
us	O
to	O
Machine	O
Learning	O
and	O
specifically	O
Natural	B-Language
Language	I-Language
Processing	I-Language
(	O
NLP	B-Language
)	O
.	O
</s>
<s>
NLP	B-Language
is	O
a	O
branch	O
of	O
Artificial	B-Application
Intelligence	I-Application
and	O
it	O
uses	O
Machine	O
Learning	O
to	O
understand	O
content	O
and	O
context	O
as	O
well	O
as	O
make	O
predictions	O
.	O
</s>
<s>
Many	O
of	O
the	O
features	O
of	O
NLP	B-Language
are	O
extremely	O
important	O
in	O
resume	B-Application
parsing	I-Application
.	O
</s>
<s>
Acronym	B-General_Concept
normalization	I-General_Concept
and	O
tagging	O
accounts	O
for	O
the	O
different	O
possible	O
formats	O
of	O
acronyms	O
and	O
normalizes	O
them	O
.	O
</s>
<s>
Lemmatization	B-General_Concept
reduces	O
words	O
to	O
their	O
root	O
using	O
a	O
language	O
dictionary	O
and	O
Stemming	B-General_Concept
removes	O
“	O
s	O
”	O
,	O
“	O
ing	O
”	O
,	O
etc	O
.	O
</s>
<s>
Entity	B-General_Concept
extraction	I-General_Concept
uses	O
regex	B-Language
expressions	I-Language
,	O
dictionaries	O
,	O
statistical	O
analysis	O
and	O
complex	O
pattern-based	O
extraction	O
to	O
identify	O
people	O
,	O
places	O
,	O
companies	O
,	O
phone	O
numbers	O
,	O
email	O
addresses	O
,	O
important	O
phrases	O
and	O
more	O
.	O
</s>
<s>
Resume	O
parsers	B-Language
have	O
achieved	O
up	O
to	O
87%	O
accuracy	O
,	O
which	O
refers	O
to	O
the	O
accuracy	O
of	O
data	O
entry	O
and	O
categorizing	O
the	O
data	O
correctly	O
.	O
</s>
<s>
Human	O
accuracy	O
is	O
typically	O
not	O
greater	O
than	O
96%	O
,	O
so	O
the	O
resume	O
parsers	B-Language
have	O
achieved	O
"	O
near	O
human	O
accuracy.	O
"	O
</s>
<s>
One	O
executive	O
recruiting	O
company	O
tested	O
three	O
resume	O
parsers	B-Language
and	O
humans	O
to	O
compare	O
the	O
accuracy	O
in	O
data	O
entry	O
.	O
</s>
<s>
They	O
ran	O
1000	O
resumes	O
through	O
the	O
resume	B-Application
parsing	I-Application
software	O
and	O
had	O
humans	O
manually	O
parse	B-Language
and	O
enter	O
the	O
data	O
.	O
</s>
<s>
They	O
found	O
that	O
the	O
results	O
from	O
the	O
resume	O
parsers	B-Language
were	O
more	O
comprehensive	O
and	O
had	O
fewer	O
mistakes	O
.	O
</s>
<s>
It	O
would	O
be	O
helpful	O
if	O
a	O
similar	O
study	O
was	O
conducted	O
on	O
current	O
resume	O
parsers	B-Language
to	O
see	O
if	O
there	O
have	O
been	O
any	O
improvements	O
over	O
the	O
past	O
few	O
years	O
.	O
</s>
<s>
Resume	B-Application
parsing	I-Application
can	O
impede	O
the	O
bias	O
that	O
inevitably	O
rises	O
in	O
the	O
hiring	O
process	O
and	O
allow	O
applicants	O
to	O
be	O
ranked	O
based	O
on	O
the	O
objective	O
information	O
.	O
</s>
<s>
With	O
resume	O
parsers	B-Language
,	O
the	O
process	O
is	O
now	O
faster	O
and	O
candidates	O
have	O
an	O
improved	O
experience	O
.	O
</s>
<s>
The	O
parsing	B-Language
software	O
has	O
to	O
rely	O
on	O
complex	O
rules	O
and	O
statistical	O
algorithms	O
to	O
correctly	O
capture	O
the	O
desired	O
information	O
in	O
the	O
resumes	O
.	O
</s>
<s>
It	O
is	O
still	O
a	O
challenge	O
for	O
these	O
resume	O
parsers	B-Language
to	O
account	O
for	O
all	O
the	O
ambiguity	O
.	O
</s>
<s>
Natural	B-Language
Language	I-Language
Processing	I-Language
and	O
Artificial	B-Application
Intelligence	I-Application
still	O
have	O
a	O
way	O
to	O
go	O
in	O
understanding	O
context-based	O
information	O
and	O
what	O
humans	O
mean	O
to	O
convey	O
in	O
written	O
language	O
.	O
</s>
<s>
Resume	O
parsers	B-Language
have	O
become	O
so	O
omnipresent	O
that	O
rather	O
than	O
writing	O
to	O
a	O
recruiter	O
,	O
candidates	O
should	O
focus	O
on	O
writing	O
to	O
the	O
parsing	B-Language
system	O
.	O
</s>
<s>
These	O
keywords	O
will	O
almost	O
certainly	O
be	O
included	O
in	O
the	O
parsing	B-Language
process	O
.	O
</s>
<s>
They	O
tend	O
to	O
confuse	O
the	O
parsing	B-Language
algorithms	O
.	O
</s>
<s>
Parsers	B-Language
typically	O
look	O
for	O
dates	O
following	O
job	O
titles	O
or	O
company	O
names	O
.	O
</s>
<s>
Most	O
resume	O
parsers	B-Language
claim	O
to	O
work	O
with	O
all	O
of	O
the	O
main	O
file	O
types	O
,	O
but	O
stick	O
with	O
docx	O
,	O
doc	O
and	O
pdf	O
to	O
be	O
on	O
the	O
safe	O
side	O
.	O
</s>
<s>
There	O
are	O
many	O
stand-alone	O
options	O
for	O
resume	O
parsers	B-Language
including	O
,	O
,	O
CandidateZip	O
,	O
Sovren	O
,	O
,	O
,	O
Hireability	O
and	O
they	O
are	O
also	O
typically	O
bundled	O
in	O
with	O
Applicant	B-Application
Tracking	I-Application
Systems	I-Application
,	O
which	O
are	O
used	O
by	O
companies	O
to	O
streamline	O
the	O
hiring	O
process	O
.	O
</s>
<s>
90%	O
of	O
Fortune	O
500	O
companies	O
use	O
Applicant	B-Application
Tracking	I-Application
Systems	I-Application
and	O
they	O
can	O
do	O
everything	O
from	O
processing	O
job	O
applications	O
,	O
managing	O
the	O
recruiting	O
process	O
and	O
executing	O
the	O
hiring	O
decision	O
.	O
</s>
<s>
With	O
recent	O
advancements	O
in	O
AI	B-Application
sophistication	O
and	O
Machine	O
Learning	O
,	O
and	O
the	O
text	B-Algorithm
mining	I-Algorithm
and	O
analysis	O
processes	O
improvements	O
,	O
which	O
ensure	O
up	O
to	O
95%	O
accuracy	O
in	O
the	O
data	O
processing	O
,	O
many	O
AI	B-Application
technologies	O
have	O
sprung	O
up	O
to	O
help	O
the	O
job	O
seekers	O
in	O
the	O
creation	O
of	O
application	O
documents	O
.	O
</s>
<s>
Some	O
of	O
the	O
AI	B-Application
builders	O
,	O
such	O
as	O
Leap.ai	O
and	O
Skillroads	O
,	O
concentrate	O
on	O
the	O
resume	O
creation	O
while	O
others	O
,	O
like	O
Stella	O
,	O
also	O
offer	O
help	O
with	O
the	O
job	O
hunt	O
itself	O
as	O
they	O
match	O
candidates	O
to	O
appropriate	O
vacancies	O
.	O
</s>
<s>
This	O
expansion	O
to	O
the	O
search	O
engine	O
uses	O
Cloud	O
Talent	O
Solution	O
,	O
Google	O
's	O
own	O
invention	O
,	O
which	O
is	O
another	O
iteration	O
of	O
the	O
smart	O
AI	B-Application
resume	O
builder	O
and	O
matching	O
system	O
.	O
</s>
<s>
Resume	O
parsers	B-Language
are	O
already	O
standard	O
in	O
most	O
mid	O
-	O
to	O
large-sized	O
companies	O
and	O
this	O
trend	O
will	O
continue	O
as	O
the	O
parsers	B-Language
become	O
even	O
more	O
affordable	O
.	O
</s>
<s>
As	O
Machine	O
Learning	O
and	O
Natural	B-Language
Language	I-Language
Processing	I-Language
get	O
better	O
,	O
so	O
will	O
the	O
accuracy	O
of	O
resume	O
parsers	B-Language
.	O
</s>
<s>
One	O
of	O
the	O
areas	O
resume	B-Application
parsing	I-Application
software	O
is	O
working	O
on	O
expanding	O
into	O
is	O
performing	O
contextual	O
analysis	O
on	O
the	O
information	O
in	O
the	O
resume	O
rather	O
than	O
purely	O
extracting	O
it	O
.	O
</s>
<s>
Parsing	B-Language
companies	O
are	O
also	O
being	O
asked	O
to	O
expand	O
beyond	O
just	O
resumes	O
or	O
even	O
LinkedIn	O
profiles	O
.	O
</s>
<s>
They	O
are	O
working	O
on	O
extracting	O
information	O
from	O
industry-specific	O
sites	O
such	O
as	O
GitHub	B-Application
and	O
social	O
media	O
profiles	O
.	O
</s>
