Updated map with Interactive Location/Tweet Data:
I hope to see the text pertaining to Syria, Syrian Refugees, and other issues surrounding Syria through the text analysis of my hashtag. Unfortunately, my set of tweets is SO large I can only grab from a few dates, but there are a ton of tweets so it should even out how many relative topics I find. I am certain there will be topics pertaining to Trump and America Foreign Policy as well as Immigration Laws too.
Using the Voyant tool, my Hashtag produced 312,000 words, and 17,000 unique words! Also, some recurring destinctive words included Secret, advacing, and PutinAssadCrimes.
After clearing the stopwords from the list, I noticed a lot of relative material! From my initial estimation, the only thing that is missing is Trump! Also, it immediately opened my eyes to news about my hashtag! I thought ‘13,000’ was a random word that might have gotten in there, yet it actually represents 13,000 people unlawfully, and quietly captured and jailed in Syria in early February of 2017. Five obscure words are Mass, Al, State ,Today and Syrians because they are too general, and Syrian is too much like ‘syria,’ an initial stopword.
The data that is revelaed by the words cloud is rather what I expected, as I stated above, the words are pretty much what I figured they would be. Aleppo, Prison, Assad—even trump are all on there after adding more stopwords and messing with the view to prioritize the data that is shown to most accurately describe the #Syria topic.

Above is a screenshot of the Word Cloud my topic yielded!
I think the words that stand out the most are “War,” and “Humanity,” although these are generally broad terms, there are a lot surrounding them. The frequency of the terms means it is a serious problem of humanity, what is Happning to Syrians and in Syria, as well as the rest of the Middle East, the war image is never ending, and this data paints the picture of how bad things have gotten. My topic yields so much data it is hard to keep track of but the themes of war, panic and torture are everlasting.
Terms Frequencies:

Syriansfuture, Posted By. “Empowering Our Communities Under Crisis.” Syrian Students for a Better Future. N.p., 03 Mar. 2017. Web. 03 Mar. 2017.
This article actually yeilded similar words to what my topic did, but since this is an opinionated post, I think it speaks the truth which is unbiased politically from a typical news source. Some interesting words include Damascis, University, war. The words that came up actually pertain to my overall topic because pretty much each word describes a different aspect of life that Syria has been effected in, Education, infrastructure, economy, etc.


Stopword list:
!
$
%
&
,
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0
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100
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:
;
<
>
@
\(
\)
\*
\+
\?
\[
\]
\^
\{
\}
a
about
above
across
after
afterwards
again
against
all
almost
alone
along
already
also
although
always
am
among
amongst
amoungst
amount
an
and
another
any
anyhow
anyone
anything
anyway
anywhere
are
around
as
at
b
back
be
because
been
before
beforehand
being
beside
besides
between
both
bottom
but
by
c
call
can
cannot
cant
co
con
could
couldnt
d
de
did
didn’t
do
does
doesn’t
don’t
done
down
due
during
e
each
eg
eight
either
eleven
else
elsewhere
enough
etc
even
ever
every
everyone
everything
everywhere
except
f
few
fifteen
fify
fill
find
fire
first
five
for
former
formerly
forty
found
four
from
front
full
further
g
get
give
go
h
had
has
hasnt
have
he
hence
her
here
hereafter
hereby
herein
hereupon
hers
herself
him
himself
his
how
however
hundred
i
ie
if
in
inc
indeed
into
is
it
its
itself
j
k
keep
l
last
latter
latterly
least
less
ltd
m
made
many
may
me
meanwhile
might
mill
mine
more
moreover
most
mostly
move
much
must
my
myself
n
name
namely
neither
never
nevertheless
next
nine
no
nobody
none
noone
nor
not
nothing
now
nowhere
o
of
off
often
on
once
one
only
onto
or
other
others
otherwise
our
ours
ourselves
out
over
own
p
part
per
perhaps
please
put
q
r
rather
re
s
same
see
seem
seemed
seeming
seems
serious
several
she
should
since
six
sixty
so
some
somehow
someone
something
sometime
sometimes
somewhere
still
such
system
t
take
ten
than
that
the
thee
their
them
themselves
then
thence
there
thereafter
thereby
therefore
therein
thereupon
these
they
thing
third
this
those
thou
though
three
through
throughout
thru
thus
thy
to
together
too
toward
towards
twelve
twenty
two
u
un
under
until
up
upon
us
v
very
via
w
was
we
well
were
what
whatever
when
whence
whenever
where
whereafter
whereas
whereby
wherein
whereupon
wherever
whether
which
while
whither
who
whoever
whole
whom
whose
why
will
with
within
without
would
x
y
yet
you
your
yours
yourself
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|
Syria
High
Care
New
Role
Ian,
Good work with this lab. I think the Syria hashtag is inherently difficult to manage, as was made clear by how many words you had to account for. I thought that your findings of “war” and “humanity” were significant to see, as these two words are opposites in definition but so applicable and closely related within the context of Syria. Syria was actually one of my top 5 most frequent words after I created my list of stop words. I can see in your Word Cloud that ISIS was a relevant term for you as well, however not as substantially as Syria was in my Word Cloud. It seems that these topics may be inherently related, and not so much connected by day-to-day events. One recommendation I would make for you would be to add “Syria” to your list of stop words, because this will allow you to see how each of the other terms play out in relation to each other. By removing “Syria” you’ll have a better understanding on the true frequency of each of the terms that naturally include Syria as a subject since they were scraped from tweets that all had #Syria somewhere in them. Good work on this lab.
Ian,
I found the same issue when it came to picking which dates to choose as I also had so much data. I thought it was interesting that some of your recurring distinctive words were secret, advancing and PutinAssadCrimes. I am curious to know how these words connect to your hashtag. I also thought it was significant that Trump was initially missing from your word cloud as I would think people would tweet about Syria in relation to him. I also thought that it was cool that you were able to find out that “13,000” actually represents people unlawfully captured and jailed in Syria in this past February. I wasn’t even aware that happened. In relation to my hashtag I am surprised that muslimban didn’t show up on your world cloud as Syria is one of the countries that is included in this ban. Looking back at my word cloud I don’t think Syria was included, which I also find interesting because our topics are so relevant to one another. I thought your points about War and Humanity were compelling too, as these terms are the total opposite but relate to what is going on in Syria.