1. Opinion
mining
and
sen-ment
analysis
W3C
SEMINAR,
JUNE
19
2012
TH
David
Osimo,
Tech4i2.com
www.crossover-­‐project.eu
#pmod

2. THE
CHALLENGES
 Making
sense
of
a
thousand
voices
across
different
pla:orms
 Iden-fying
“good
ideas”
 Reduce
uncertainty
on
possible
impact
of
policies
by
ge@ng
early
and
real-­‐-me
feedback

3. POSSIBLE
SOLUTION
Argument
mapping
soCware
helps
organising
in
a
logical
way
these
policy
statements,
by
explicita-ng
the
logical
links
between
them..
Vo-ng
Advise
Applica-ons
help
voters
understanding
which
poli-cal
party
(or
other
voters)
have
closer
posi-ons
to
theirs.
Automated
content
analysis
helps
processing
large
amount
of
qualita-ve
data.

4. STATE
OF
THE
ART

9. ADVANCED
TOOLS

11. FUTURE
CHALLENGES
 Reduc-on
of
human
effort
 The
detec-on
of
spam
and
fake
reviews,
 The
limits
of
collabora-ve
filtering,
which
tends
to
iden-fy
most
popular
concepts
and
to
overlook
most
innova-ve
/
out
of
the
box
thinking
 The
risk
of
a
filter
bubble
(pariser
2011)
 The
asymmetry
in
availability
of
opinion
mining
soCware,
which
can
currently
be
afforded
only
by
organisa-ons
and
government,
but
not
by
ci-zens.
In
other
words,
government
have
the
means
today
to
monitor
public
opinion
in
ways
that
are
not
available
to
the
average
ci-zens.
While
content
produc-on
and
publica-on
has
democra-zed,
content
analysis
has
not.
 The
integra-on
of
opinion
with
behaviour
and
implicit
data,
in
order
to
validate
and
provide
further
analysis
into
the
data
beyond
opinion
expressed
 The
con-nuous
need
for
beTer
usability
and
user-­‐friendliness
of
the
tools,
which
are
currently
usable
mainly
by
data
analysts

12. Current free Top Current research Short term future Long term
tools market research future
tools research
filtering opinion Machine · Statistical + Semantic · Visual representation· Multilingual
based on rating; learning + analysis through · Audiovisual opinion audiovisual
assessing human lexicon/corpus of words mining opinion mining
sentiments based analysis with known sentiment · Real-time opinion · Usable, peer-
on keywords; mining to-peer opinion
visual word for sentiment · Machine learning mining tools for
counting classification algorithms citizens
Argument · Identification of policy
· Natural language · Non-bipolar
mapping and VAA opinionated material to interfaces assessment of
be analysed · SNA applied to opinion
· Computer-generated opinion and expertise · Automatic
reference corpuses in · Bipolar assessment of irony detection
political/governance opinions
field · Multilingual reference
· Visual mapping of corpora
bipolar opinion · Recommendation
· Identification of highly algorythms
rated experts

13. COMMENT
THE
ROADMAP
hTp://www.crossover-­‐project.eu/ResearchRoadmap.aspx