►
Description
The Cortical.IO team demonstrates some twitter analysis.
http://nupic2015spring.challengepost.com/submissions/37835-breaking-news-detection
A
A
The
data
we've
used
so
for
our
training
and
testing
purposes.
We
have
the
offline
data
feed
from
the
archive
team,
so
this
is
a
substring
of
the
fire
hose
from
februari
2013
and
for
our
live
demo.
We've
actually
well,
as
you
can
hear,
that
we
keep
asking
for
need
sweets,
so
we're
using
the
real
twitter
feeds
will
hand
you
over
to
babbling.
Now.
A
B
B
B
B
The
high
scores
are
the
new
topics
and
the
lower
scores
its
course
and
the
new
trend
anomalies,
and
why
is
this
difference
is
because
we
choose
a
hashtag
to
this
about
news,
so
it's
more
or
less
speaking
of
writing
about
the
different
but
similar
topics,
but
when
you
have
had
really
something
that
is
the
first
time
it
is
seeing.
So
it's
a
really
new
new.
It's
a
it's
a
this
big
and
when
it's
a
some
people,
it's
a
retweeting
or
just
creating
tweets
about
the
same
new.
B
We
can
see
in
the
the
first
fingerprint
is
a
real
treat
and
the
second
finger
print.
It
will
be
the
prediction
and
what
is
happening
there
is
there
is
that
it
cannot
predict
anything
or
almost
anything
and
it's
completely
different
to
the
input
just
because
they,
the
Twitter
it
has
never
seen,
has
never
never
seen
before
in
there
in
the
stream.
B
Here
we
have
an
example
of
the
other
type
of
anomaly,
and
we
can
see
here
the
the
first
tweet
sound.
There
is
a
where
we
detect
the
anomaly
and
the
other
tweets
that
are
just
below
a
twist
that
happened
in
the
past
in
the
same
stream,
and
also
we
can
see
the
now
they're
real
tweet.
The
real
thing
up
in
there
is
a
STR
of
the
twit,
it's
much
similar
to
their
prediction,
as
we
saw
before.
B
C
C
Cool
nod
works.
He
also.
Basically,
what
we
do
see
here
is
on
the
algorithm
that
Pablo
and
our
team
developed,
applied
on
the
twitter
feed
and
on
our
hashtag.
We
see
that
the
HTM
started
to
learn
a
bit
and
the
way
a
couple
of
boring
tweets,
maybe
in
the
beginning,
and
that
caused
the
really
good
prediction
but
yeah
towards
the
end.
We
see
that
still
airy
tweet
seems
to
be
some
sort
of
breaking
news
here
at.
C
C
C
C
The
only
pre-processing
that's
done
is
is
with
the
cortical
io
API,
where
we,
for
example,
remove
the
house
called
pounds
on
or
the
hash
from
hashtags,
and
that's
it
pretty
much
I
mean
like
it's.
A
lot
of
tweets
are
really
kind
of
you
know
junkie.
Looking
we
got
like
you
know,
yeah
it
weeds
are
really
really
hard
here.
I
mean
a
few
examples.
B
You
showed
from
BBC
were
really
nice
and
clean,
so
I
didn't
know.
Yeah
there
is
a
smaller
pre-processing
work
that
is
basically
removing
the
HTTP,
because
HTTP
is
contained
retina
and
this
will
buy
us
all
the
meaning
of
all
the
tweets
and
something
else
like
the
retweet
symbol
as
RT
and
but
I
think
that's
all
the
pre-processing
is
needed.