The Most Uniquely Popular Word Used & Other Country Mentioned On Every Country’s Wikipedia Page – Brilliant Maps

The
map
above
looks
at
what
is
the
most
Uniquely
Popular
Word
used
on
each
country’s
Wikipedia
page.
It
comes
from

Crossword-Solver
and
a
few
countries
actually
have
the
same
word.

1. atoll:
   3
2. diamond:
   3
3. inland:
   2
4. archipelago:
   2
5. cotton:
   2
6. coup:
   2
7. federal:
   2
8. berber:
   2
9. 
   hurricane:
   2
10. cave:
    2
11. soviet:
    2
12. copper:
    2
13. wine:
    2

You
can
read
the
full
list
by
country
at
the
bottom.
However,
before
we
do
here
is
another
map
showing
which
other
country
is
mentioned
the
most
of
each
country’s
Wikipedia
page.

Here
are
the
county’s
with
more
than
3
mentions
on
other
country’s
pages:

1. France:
   17
2. United
   States
   of
   America:
   16
3. India:
   8
4. China:
   6
5. Russia:
   6
6. South
   Africa:
   6
7. Italy:
   5
8. Spain:
   5
9. Guinea:
   5
10. Portugal:
    4
11. Germany:
    4
12. Australia:
    4
13. Iran:
    4
14. Ethiopia:
    3
15. Pakistan:
    3
16. Niger:
    3
17. Hungary:
    3
18. England:
    3
19. Israel:
    3
20. Serbia:
    3
21. Egypt:
    3
22. Brazil:
    3

Note
the
make
makers
split
the
UK
into
it’s
4
countries
and
I
wonder
what
would
happen
if
you
included
them
all
as
one.

Here’s
the
full
data
set:

Here’s
how
they
did
the
analysis:

Text
of
Wikipedia
pages
for
each
country,
state
and
city
were
taken
directly
from Wikipedia in
English.

Texts
were
cleaned
only
to
include
the
main
entry,
excluding
sections
such
as
“See
also,”
“References,”
“Further
reading,”
etc.
Further
data
cleaning
included
removing
demonyms
(e.g.,
“French”
for
France),
names
of
major
cities,
names
of
countries
themselves
and
all
the
usual
stop
words
like
articles
(“a,”
“the”),
linking
words
(“and,”
“or”),
prepositions,
etc.

Finally,
after
compiling
all
the
words
appearing
in
the
Wiki
entry
for
a
given
country,
we
grouped
different
forms
of
the
same
words
together
(e.g.,
large,
larger,
largest
=>
large)
so
they
could
be
analyzed
as
a
single
item.

The
most
uniquely
popular
words
for
each
country,
state
and
city
were
determined
using
the
TF-IDF
(term
frequency-inverse
document
frequency)
algorithm,
which
is
a
measure
that
evaluates
how
relevant
a
word
is
to
a
particular
text
in
a
collection
of
texts.
Using
this
algorithm,
we
were
able
to
determine
which
word
was
most
distinctly
relevant
to
each
Wikipedia
entry.
Names
of
geographic
entities
(rivers,
seas,
islands),
people’s
last
names,
names
of
companies,
political
parties
or
organizations
were
excluded
when
choosing
the
most
distinctly
relevant
word.

The
most
mentioned
countries
and
states
were
taken
as
the
country
or
state
with
the
highest
number
of
mentions
in
another
country’s
or
state’s
Wikipedia
entry.

Go to Source
Author: Brilliant Maps