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Transcription

Slides
WikiSent : Weakly Supervised Sentiment
Analysis Through Extractive
Summarization With Wikipedia
Subhabrata Mukherjee, Pushpak Bhattacharyya
Dept. of Computer Science and Engineering,
IIT Bombay
European Conference on Machine Learning
ECML PKDD 2012,
Bristol, U.K., 24-28 Sept, 2012
World Knowledge
2

Extensive world knowledge required to perform
analysis of reviews

Distinguish between What’s and About’s of the
review

Filter out concepts irrelevant to the reviewer
opinion about the movie

Retain only the objects of interest and
corresponding opinions
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
A Negative Review





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
best remembered for his understated performance as dr. hannibal lecter in michael
mann's forensics thriller , manhunter , scottish character actor brian cox brings
something special to every movie he works on .
usually playing a bit role in some studio schlock ( he dies halfway through the long
kiss goodnight ) , he's only occasionally given something meaty and substantial to do
.
if you want to see some brilliant acting , check out his work as a dogged police
inspector opposite frances mcdormand in ken loach's hidden agenda .
cox plays the role of big john harrigan in the disturbing new indie flick l . i . e . , which
lot 47 picked up at sundance when other distributors were scared to budge
big john feels the love that dares not speak its name , but he expresses it through
seeking out adolescents and bringing them back to his pad .
what bothered some audience members was the presentation of big john in an oddly
empathetic light .
he's an even-tempered , funny , robust old man who actually listens to the kids'
problems ( as opposed to their parents and friends , both caught up in the high-wire
act of their own confused lives . )
he'll have sex-for-pay with them only after an elaborate courtship , charming them
with temptations from the grown-up world .
Facets of a Movie Review
Facets of a Movie Review
• John Travolta is considered by many to be a has-been, or a one-hit wonder
…
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Facets of a Movie Review
•
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Wikipedia

Extensive World Knowledge required to
perform this analysis

Wikipedia is used to create a topic-specific,
extractive summary of a review

The extract is classified with a Lexicon,
instead of the entire review
Feature Extraction from
Wikipedia
Feature Extraction from
Wikipedia
METADATA
Harry Potter and the Deathly Hallows – Part 1 is a 2010 fantasy
film[5] directed by David Yates and the first of two films based on
the novel Harry Potter and the Deathly Hallows by J. K. Rowling. It
is the seventh instalment in the Harry Potter film series, written by
Steve Kloves and produced by David Heyman, David Barron and
Rowling. The story follows Harry Potter on a quest to find and
destroy Lord Voldemort's secret to immortality – the Horcruxes.
The film stars Daniel Radcliffe as Harry Potter, alongside Rupert
Grint and Emma Watson as Harry's best friends Ron Weasley and
Hermione Granger. It is the sequel to Harry Potter and the HalfBlood Prince and is followed by the concluding film, Harry Potter
and the Deathly Hallows – Part 2.
Principal photography began on 19 February 2009 and was
completed on 12 June 2010.[6] Part 1 was released in 2D cinemas
and IMAX formats worldwide on 19 November 2010.
Feature Extraction from
Wikipedia
METADATA
PLOT
FurtherPotter
Harry
information:
and the Harry
Deathly
Potter
Hallows
and the
– Part
Deathly
1 is aHallows
2010 fantasy
Novel
film[5] directed by David Yates and the first of two films based on
Plot
the
novelRufus
HarryScrimgeour
Potter and the
Deathly the
Hallows
by J. media
K. Rowling.
It
Minister
addresses
wizarding
stating
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written by
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asseries,
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producedthe
by David
Heyman,
Barron
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inform
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destroy
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from No.
4 Privet
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film stars
Daniel Radcliffe
as Malfoy's
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Rupert
Voldemort
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Lucius
wand,alongside
as Voldemort's
Grint
and Emma
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and
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flight
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19 February
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andinjure
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Death Eaters,
who kill Mad-Eye
and Hedwig,
completed
on 12 June
Part
was released
2D cinemas
George Weasley.
They2010.[6]
arrive at
the1 Burrow,
wherein Harry
has a
and
IMAX
formats worldwide
on 19 November
2010. who claims
vision
of Ollivander
being tormented
by Voldemort,
that the wand-maker had lied to him by informing him of the only
way to kill Harry: obtaining another's wand.
Feature Extraction from
Wikipedia
METADATA
CREW
PLOT
Directed
by : David
Yates
Harry Potter
Further
information:
and the
Harry
Deathly
Potter
Hallows
and the
– Part
Deathly
1 is aHallows
2010 fantasy
Novel
film[5]
Plot
directed
Yates
and the first
of two
films
based on
Produced
by by David
: David
Heyman,David
Barro,
J. K.
Rowling
the
novelRufus
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the
Deathly
Hallows
by J. media
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Rowling.
It
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Screenplay
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by David
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a Watson
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and hisbyDeath
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Hallows
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Harrys.
During their
flight
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Distributed
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Warner
Pictures
Principal
photography
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onMoody
19 February
2009 and
andinjure
was
Death Eaters,
killBros.
Mad-Eye
and Hedwig,
completed
on 12 June
Part
was released
2D cinemas
George Weasley.
They2010.[6]
arrive at
the1 Burrow,
wherein Harry
has a
and
IMAX
formats worldwide
on 19 November
2010. who claims
vision
of Ollivander
being tormented
by Voldemort,
that the wand-maker had lied to him by informing him of the only
way to kill Harry: obtaining another's wand.
Feature Extraction from
Wikipedia
CHARACTER
METADATA
CREW
PLOT
Directed
Daniel
Radcliffe
by : David
Harry
Yates
Potter,
the
film's
protagonist.
Harry Potter
Further
information:
andasthe
Harry
Deathly
Potter
Hallows
and
the
– Part
Deathly
1 is aHallows
2010 fantasy
Novel
film[5]
Plot
David
Yates
and thebest
first
of two
films
based on
Rupert directed
Produced
Grint
by as by
Ron
: David
Weasley,
Heyman,David
Harry's
Barro,
friend
J.and
K.
Rowling
Hermione's
the
novelRufus
Harry
Potter
the
Deathly
Hallows
by J. media
K.
Rowling.
It
Minister
romantic
interest.
addresses
the
wizarding
stating
Screenplay
by :Scrimgeour
Steve and
Kloves
Based
on
Harry
Potter
and
the
is
thethe
seventh
instalment
inwill
the remain
Harry Potter
film
series,
written by
that
Ministry
of
Magic
strong
as
Lord
Voldemort
Emma
Watson
as
Hermione
Granger,
Harry's
other
best
friend
and
Deathly
Hallows
by
J.
K.
Rowling
Steve
Kloves
producedthe
by David
Heyman,
Barron
and
gains
power and
throughout
wizarding
and David
Muggle
worlds.
Ron's
romantic
interest.
Starring
:Snape
Daniel
Radcliffe,
Rupert
Grint,
Rowling.
The
story
follows
HarryManor
PotterEmma
on
a Watson
quest
find and
Severus
arrives
at
Malfoy
to
inform
LordtoVoldemort
Helena
Bonham
Carter
as
Bellatrix
Lestrange,
a
Death
Eater
and
destroy
Lord
Voldemort's
secretdeparture
to immortality
– the
Horcruxes.
Music
byDeath
: Alexandre
Desplat
and
his
Eaters
of
Harry's
from
No.
4
Privet
Drive.
Sirius
Black's
cousin
and
murderer.
The
film
stars
Daniel
Radcliffe
as Malfoy's
Harry Potter,
Rupert
Voldemort
commandeers
Lucius
wand,alongside
as Voldemort's
Themes:
John
Williams
Robbie
Coltrane
as
Rubeus
Hagrid,
Harry's
half-giant
friend,
Grint
and
Emma
Harry's
best
friends
Ronare
Weasley
own
wand
cannotWatson
be
usedasto
kill Harry;
their
wands
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Cinematography
:
Eduardo
Serra
gamekeeper
at Hogwarts.
Hermione
Granger.
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sequel
to Harry
Potter
andDrive
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the
Order
the
Phoenix
arrive
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Privet
and
Editing
by:
Mark
Day
Blood
Prince
and
is
followed
by
the
concluding
film,
Harry
Potter
Warwick
Davis
as Griphook,
a goblinPotion
and former
employee
at
escort Harry
to safety
using Polyjuice
to create
six decoy
Studio
Films
and
the:Heyday
Deathly
Hallows
– Part
2.Verne
Gringotts
Bank.their
Davis
replaced
Troyer,
portrayed the
Harrys.
During
flight
to the
Burrow,
theywho
are ambushed
by
character
physically
in
the
first
film,
though
Davis
had
dubbed
Distributed
by:
Warner
Bros.
Pictures
Principal
photography
began onMoody
19 February
2009 and
andinjure
was
Death Eaters,
who kill Mad-Eye
and Hedwig,
Griphook's
lines.
completed
on
12 June
Part
was released
2D cinemas
George Weasley.
They2010.[6]
arrive at
the1 Burrow,
wherein Harry
has a
and
IMAX
formats
worldwide
on
19 November
2010.
Tom
Felton
as Draco
Malfoy,tormented
a Death
Eater
and
son ofwho
Lucius
and
vision
of Ollivander
being
by Voldemort,
claims
Narcissa
Malfoy.
that the wand-maker
had lied to him by informing him of the only
way toFiennes
kill Harry:
another's
Ralph
as obtaining
Lord Voldemort,
thewand.
film's main antagonist
Feature Extraction from
Wikipedia
CHARACTER
METADATA
CREW
PLOT
Directed
Daniel
Radcliffe
by : David
Harry
Yates
Potter,
the
film's
protagonist.
Harry Potter
Further
information:
andasthe
Harry
Deathly
Potter
Hallows
and
the
– Part
Deathly
1 is aHallows
2010 fantasy
Novel
DOMAIN
SPECIFIC
FEATURE
LIST
film[5]
Plot
David
Yates
and the
first
of two
films
based on
Rupert directed
Produced
Grint
by as by
Ron
: David
Weasley,
Heyman,David
Harry's
best
Barro,
friend
J.and
K.
Rowling
Hermione's
the
novelRufus
Harry
Potter
the
Deathly
Hallows
by J. media
K.
Rowling.
It
Minister
romantic
interest.
addresses
the
wizarding
stating
Screenplay
by :Scrimgeour
Steve and
Kloves
Based
on
Harry
Potter
and
the
is
thethe
seventh
instalment
inwill
the remain
Harry Potter
film
series,
written by
that
Ministry
of
Magic
strong
as
Lord
Voldemort
Emma
Watson
as
Hermione
Granger,
Harry's
other
best
friend
and
Deathly
Hallows
by
J.
K.
Rowling
Steve
Kloves
producedthe
by David
Heyman,
Barron
and
gains
power and
throughout
wizarding
and David
Muggle
worlds.
Ron's
romantic
interest.
Starring
:Snape
Daniel
Radcliffe,
Rupert
Grint,
Rowling.
The
story
follows
HarryManor
PotterEmma
on
a Watson
quest
find and
Severus
arrives
at
Malfoy
to
inform
LordtoVoldemort
Helena
Bonham
Carter
as
Bellatrix
Lestrange,
a
Death
Eater
and
Movie,
Staffing,
casting,
Writing,
Theory,
Writing,
Rewriting,
destroy
Lord
Voldemort's
secret
to immortality
– the
Horcruxes.
Music
byDeath
: Alexandre
Desplat
and
his
Eaters
of
Harry's
departure
from
No.
4
Privet
Drive.
Sirius
Black's
cousin
and
murderer.
Screenplay,
Format,
Treatments,
Synopsis,
Logline,
The
film
stars
Daniel
Radcliffe
asScriptments,
Harry Potter,
alongside
Rupert
Voldemort
commandeers
Lucius
Malfoy's
wand,
as Voldemort's
Themes:
John
Williams
Pitching,
Certification,scripts,
Budget,
Ideas,
Funding,
budgeting,
Robbie
Coltrane
as
Rubeus
Hagrid,
Harry's
half-giant
friend,
Grint
and
Emma
Harry's
best
friends
Ronare
Weasley
own
wand
cannotWatson
be
usedasto
kill
Harry;
their
wands
"twins".and
Cinematography
:
Eduardo
Serra
Funding,
Plans,
Grants,
Tax,
Contracts,
law,
gamekeeper
at Hogwarts.
Hermione
Granger.
It isofPitching,
the
sequel
to Harry
Potter
andCopyright,
the HalfMeanwhile,
the
Order
the
Phoenix
arrive
at
Privet
Drive
and,
Editing
by:
Mark
Day
Pre-production,
Budgeting,
Scheduling,
Pre-production,
film
Blood
Prince
and
is
followed
by
the
concluding
film,
Harry
Potter
Warwick
Davis
as Griphook,
a goblinPotion
and former
employee
at
escort
Harry
to
safety
using
Polyjuice
to
create
six
decoy
stock,
Story,
plot,2.Verne
Casting
, Directors,
Location,
Studio
Films
and
the:Heyday
Deathly
Hallows
– Part
Gringotts
Bank.boarding,
Davis
replaced
Troyer,
who
portrayed
the
Harrys.
During
their
flight
to
the
Burrow,
they
are
ambushed
by
Scouting,
…..
character
physically
in
the
first
film,
though
Davis
had
dubbed
Distributed
by:
Warner
Bros.
Pictures
Principal
photography
began onMoody
19 February
2009 and
andinjure
was
Death Eaters,
who kill Mad-Eye
and Hedwig,
Griphook's
lines.
completed
on
12 June
Part
was released
2D cinemas
George Weasley.
They2010.[6]
arrive at
the1 Burrow,
wherein Harry
has a
and
IMAX
formats
worldwide
on
19 November
2010.
Tom
Felton
as Draco
Malfoy,tormented
a Death
Eater
and
son ofwho
Lucius
and
vision
of Ollivander
being
by Voldemort,
claims
Narcissa
Malfoy.
that the wand-maker
had lied to him by informing him of the only
way toFiennes
kill Harry:
another's
Ralph
as obtaining
Lord Voldemort,
thewand.
film's main antagonist
Feature List Creation












Feature List Creation

Metadata and Plot sentences are POS-tagged











Nouns retrieved
Stemmed
Added to the Plot list
Character information also added to Plot list
Feature List Creation

Metadata and Plot sentences are POS-tagged





Nouns retrieved
Stemmed
Added to the Plot list
Character information also added to Plot list
Domain specific feature list extracted from Wiki articles on films and movies






Added to MovieFeature list
Feature List Creation

Metadata and Plot sentences are POS-tagged





Domain specific feature list extracted from Wiki articles on films and movies


Nouns retrieved
Stemmed
Added to the Plot list
Character information also added to Plot list
Added to MovieFeature list
Crew information added to Crew list




Feature List Creation

Metadata and Plot sentences are POS-tagged





Nouns retrieved
Stemmed
Added to the Plot list
Character information also added to Plot list
Domain specific feature list extracted from Wiki articles on films and movies

Added to MovieFeature list

Crew information added to Crew list

Laptop and Printer domain data used to filter frequent occurring concepts



Non-overlapping domains
Frequently occurring terms in all the domains added to FreqWords list
The FreqWords are pruned from the other feature lists
Why only Nouns?
26

To restrict genre-specific concepts to be entities

Harry acted as if nothing has happened vs. Kate Winslet acted
awesome in the movie.

Here act is present as a Verb in both the sentences


First sentence belongs to the plot (Category 5)
Second sentence depicts the reviewer opinion (Category 8)

Difference lies in the presence of different subjects of interest with
the Verb

Our focus is to capture the subjects and objects in the sentence
which give direct clues about the category of the reviewer
statement, so that feature lists are as pure as possible
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Extractive Summary
Semi-Supervised Learning of
Parameters
28
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Algorithm
Algorithm
WikiSent
31
Input
Movie
Review
Wikipedia
Mobile,
Printer
Reviews
Frequent
Words List
Extractive
Opinionated
Summary
Polarity
Metadata, Plot,
Crew, Cast, Story
Characters,
Movie Features
Sentiment
Lexicon
World Knowledge
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Output
Algorithm Demonstration
Algorithm Demonstration
Best remembered for his understated performance as Dr. Hannibal Lecter in Michael
Mann's forensics thriller, Manhunter, Scottish character actor Brian Cox brings
something special to every movie he works on.
Algorithm Demonstration
Best remembered for his understated performance as Dr. Hannibal Lecter in Michael
Usually playing a bit role in some studio schlock (he dies halfway through The Long Kiss
Mann's forensics thriller, Manhunter, Scottish character actor Brian Cox brings
Goodnight), he's only occasionally given something meaty and substantial to do.
something special to every movie he works on.
Algorithm Demonstration
Best remembered for his understated performance as Dr. Hannibal Lecter in Michael
Usually
playing
a bit
rolebrilliant
in someacting,
studio check
schlockout
(he
halfway
throughpolice
The Long
Kiss
If
youMann's
want
toforensics
see
some
hisdies
work
as
a dogged
inspector
thriller, Manhunter,
Scottish character
actor
Brian Cox brings
Goodnight),
he's only
occasionally
giveninsomething
meaty
and Agenda.
substantial to do.
opposite
Frances
McDormand
Ken
Loach's
Hidden
something
special to every
movie
he works
on.
Algorithm Demonstration
Best remembered for his understated performance as Dr. Hannibal Lecter in Michael
Usually
playing
arole
bit
role
inJohn
someacting,
studio check
schlock
(he
halfway
through
The
Long
Kiss
If
Cox
youMann's
want
plays
to
the
see
some
of
Big
brilliant
Harrigan
in the
out
disturbing
hisdies
work
new
as
a indie
dogged
flickCox
police
L.I.E.,
inspector
which
forensics
thriller,
Manhunter,
Scottish
character
actor
Brian
brings
Goodnight),
he's
only
occasionally
given
meaty
andscared
substantial
to do.
Lot 47 picked
opposite
upsomething
Frances
at Sundance
McDormand
when
insomething
Ken
distributors
Loach's
Hidden
were
to budge.
special
to other
every
movie
he works
on.Agenda.
Algorithm Demonstration
Best remembered for his understated performance as Dr. Hannibal Lecter in Michael
Usually
playing
arole
bit
role
inJohn
some
studio
schlock
(he
dies
halfway
through
The
Long
Kiss
If
Cox
you
want
plays
to
the
see
some
of
Big
brilliant
acting,
Harrigan
in the
out
disturbing
his
work
new
as
a indie
dogged
flickCox
police
L.I.E.,
inspector
which
Big
John
feels
the
love
that
dares
notcheck
speak
its
name,
but
he
expresses
it brings
through
Mann's
forensics
thriller,
Manhunter,
Scottish
character
actor
Brian
Goodnight),
he's
only
occasionally
given
meaty
and
substantial
to do.
Lot 47 picked
opposite
upsomething
Frances
at
Sundance
McDormand
when
other
insomething
Ken
distributors
Loach's
Hidden
were
scared
Agenda.
seeking
out
adolescents
and
bringing
them
back
toon.
his
pad.to budge.
special
to
every
movie
he works
Algorithm Demonstration
Best remembered for his understated performance as Dr. Hannibal Lecter in Michael
Usually
playing
a
bit
role
inJohn
some
studio
schlock
(he
dies
halfway
through
The
Long
Kiss
If
Cox
you
want
plays
to
the
see
role
some
of
Big
brilliant
acting,
Harrigan
in the
out
disturbing
his
work
new
as
a of
indie
dogged
police
L.I.E.,
inspector
What
Big
bothered
John
feels
some
the
audience
love
that
dares
members
notcheck
speak
was
the
its
presentation
name,
but
he
expresses
Bigflick
John
itin
through
anwhich
oddly
Mann's
forensics
thriller,
Manhunter,
Scottish
character
actor
Brian
Cox
brings
Goodnight),
he's
only
occasionally
given
meaty
and
substantial
to do.
Lot 47 picked
opposite
upsomething
Frances
at
Sundance
McDormand
when
other
insomething
Ken
distributors
Loach's
Hidden
were
scared
Agenda.
seeking
out
adolescents
empathetic
and
bringing
light.
them
back
toon.
his
pad.to budge.
special
to
every
movie
he works
Algorithm Demonstration
Best
for his
understated
performance
as Dr. Hannibal
in Michael
He's
anremembered
even-tempered,
funny,
robust
old
man who
actually
listens
toLecter
the The
kids'
problems
Usually
playing
a
bit
role
in
some
studio
schlock
(he
dies
halfway
through
Long
Kiss
If
Cox
you
want
plays
to
the
see
role
some
of
Big
brilliant
John
acting,
Harrigan
check
in
the
out
disturbing
his
work
new
as
a
indie
dogged
flick
police
L.I.E.,
inspector
What
Big
bothered
John
feels
some
the
audience
love
that
dares
members
not
speak
was
the
its
presentation
name,
but
he
of
expresses
Big
John
it
in
through
anwhich
oddly
Mann's
forensics
thriller,
Manhunter,
Scottish
character
actor
Brian
Cox
brings
(as
opposed tohe's
theironly
parents
and friends,
both
caughtmeaty
up in the
high-wire
actto
ofdo.
their
Goodnight),
occasionally
given
something
and
substantial
Lot 47 picked
opposite
upsomething
Frances
at
Sundance
McDormand
when
other
in
Ken
distributors
Loach's
Hidden
were
scared
Agenda.
to
budge.
seeking
out
adolescents
empathetic
and
bringing
light.
them
back
to
his
pad.
special
to every movie
own confused
lives.).he works on.
Algorithm Demonstration
Best
remembered
for his
understated
performance
as Dr. Hannibal
in Michael
He's
an
even-tempered,
funny,
robust
old
man
who
actually
listens
toLecter
the The
kids'
problems
Usually
He'll
have
playing
sex-for-pay
a
bit
role
with
in
some
them
only
studio
after
schlock
anthe
elaborate
(he
dies
courtship,
halfway
through
charming
them
Long
with
Kiss
If
Cox
you
want
plays
to
the
see
role
some
of
Big
brilliant
John
acting,
Harrigan
check
in
out
disturbing
his
work
new
as
a
indie
dogged
flick
police
L.I.E.,
inspector
What
Big
bothered
John
feels
some
the
audience
love
that
dares
members
not
speak
was
the
its
presentation
name,
but
he
of
expresses
Big
John
it
in
through
anwhich
oddly
Mann's
forensics
thriller,
Manhunter,
Scottish
character
actor
Brian
Cox
brings
(as
opposed tohe's
theironly
parents
and friends,
both
caughtmeaty
up
in the
high-wire
actto
ofdo.
their
Goodnight),
temptations
occasionally
from
given
the
something
grown-up
world”
and
substantial
Lot 47 picked
opposite
upsomething
Frances
at
Sundance
McDormand
when
other
in
Ken
distributors
Loach's
Hidden
were
scared
Agenda.
to
budge.
seeking
out
adolescents
empathetic
and
bringing
light.
them
back
to
his
pad.
special
to every movie
own confused
lives.).he works on.
Lexicons and Datasets
41













Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Lexicons and Datasets
42

Lexicons



SentiWordNet (Esuli et al., 2006)
Subjectivity Lexicon (Wilson et al., 2005)
General Inquirer (Stone et al., 1966)









Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Lexicons and Datasets
43

Lexicons




Baseline 1


Bag-of-Words based on the 3 lexicons
Baseline 2


SentiWordNet (Esuli et al., 2006)
Subjectivity Lexicon (Wilson et al., 2005)
General Inquirer (Stone et al., 1966)
SO-CAL (Taboada et al., 2011)
Baseline 3

All the semi-supervised and unsupervised systems in the domain



Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Lexicons and Datasets
44

Lexicons




Baseline 1


SO-CAL (Taboada et al., 2011)
Baseline 3


Bag-of-Words based on the 3 lexicons
Baseline 2


SentiWordNet (Esuli et al., 2006)
Subjectivity Lexicon (Wilson et al., 2005)
General Inquirer (Stone et al., 1966)
All the semi-supervised and unsupervised systems in the domain
Movie Review Dataset (Pang et al., 2002)


1000 positive and 1000 negative reviews (labeled at document level)
27,000 untagged reviews
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
45
Accuracy Comparison with All the Semisupervised and Unsupervised Systems in the
Same Dataset
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Accuracy Comparison with
Different Baselines
46
Accuracy Comparison with
Different Baselines
47
Baseline 1 : Simple Bag-of-Words
Only SentiWordNet
52.1
Only Subjectivity
60.3
Only GI
63.5
Baseline 2 : Worse, Median and Best Performing Lexicons with SO-CAL
SentiWordNet-Full
61.89
SentiWordNet-Basic
62.89
GI-Full
64.21
GI-Basic
65.68
Subjectivity-Full
65.42
Subjectivity-Basic
68.63
WikiSent with Different Lexicons
WikiSent+Subjectivity
71.1
WikiSent+SentiWordNet
73.3
WikiSent+GI
76.85
Accuracy Comparison with
Different Baselines
48
Bag-of-WordsMethod
SystemsBaseline 1 : SimpleClassification
Accuracy
Only SentiWordNet Unsupervised (PMI)
Turney SO value
52.1
65
Only Subjectivity
Taboada SO-CAL Basic
[1]
Lexicon Generation
60.3
68.05
Only GI
Taboada SO-CAL Full [1]
Lexicon Generation
63.5
76.37
Baseline 2 : Worse, Median and Best Performing Lexicons with SO-CAL
Shi [28], Dasgupta [29]
Unsupervised Eigen Vector
SentiWordNet-Full
Clustering
SentiWordNet-Basic
61.89
70.9
62.89
Socher [30] RAE GI-Full Semi Supervised Auto Encoders64.21 76.8
Lin [32] LSM GI-BasicUnsupervised without prior info65.68 61.7
Lin [32] LSMSubjectivity-Full
Weakly Supervised
Subjectivity-Basic
with prior info
65.42 74.1
68.63
Different
Lexicons
Li [33] WikiSent with
Semi
Supervised
10% doc. Label
WikiSent+Subjectivity
71.1
WikiSent+SentiWordNet
73.3
WikiSent+GI
76.85
Li [33]
Semi Supervised 40% doc. Label
WikiSent
Wikipedia+GI Lexicon
60
60
76.85
Trend Analysis
49
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Trend Analysis
50
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Trend Analysis
51
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Trend Analysis
52
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Trend Analysis
53
WikiSent
Bag-of-Words Baseline 1
Positive Reviews (%)
48.95
81.2
Negative Reviews (%)
51.05
18.79
Department of Computer Science and Engineering, IIT Bombay
7/23/2013
Drawbacks
54

Absence of a co-reference resolution module


Synonymous concepts not handled


Does not matter much as genre-specific concepts like
acting, direction, story-writer occur in same lexical form
Reviewer opinion bias can affect the system


false negative
false positive
Absence of WSD module affects lexicon-based
classification
Department of Computer Science and Engineering, IIT Bombay
7/23/2013