Expressor (Social_interaction_evaluation)
Stats
- Average : 0.740542
- Std dev. : 0.056716
- Min : 0.683826
- Max : 0.916182
- FEs : 111
Descriptors
Legend = verbs; nouns; adjectives; proper noun; french
- smile 0.916182
- eye 0.876178
- startle 0.858477
- smile 0.857355
- face 0.840919
- grin 0.836323
- disbelief 0.833988
- ear 0.833078
- brow 0.825784
- lip 0.820900
- blush 0.819450
- stare 0.803593
- blink 0.799562
- astonishment 0.797807
- gaze 0.795240
- gaze 0.792023
- expressionless 0.790097
- quizzical 0.789517
- lucenzo 0.788670
- laughter 0.778238
- frown 0.766751
- maggie 0.763106
- gleam 0.761928
- cheek 0.761408
- glint 0.761144
- glance 0.759376
- faint 0.759274
- amusement 0.758789
- angry 0.758510
- seeming 0.757882
- mock 0.755764
- grin 0.755078
- tear 0.754694
- laugh 0.754548
- twinkle 0.753495
- amused 0.751200
- sarcasm 0.748737
- eyebrow 0.746502
- pained 0.743445
- eyelid 0.742620
- voice 0.742456
- muffle 0.742222
- finn 0.741194
- stare 0.738410
- shocked 0.737905
- bewilderment 0.737633
- murmur 0.734005
- tone 0.733015
- sardonic 0.730170
- undisguised 0.729052
- ruth 0.727354
- drawl 0.726679
- wry 0.726101
- mouth 0.724720
- piercing 0.719399
- isabel 0.719142
- bleary 0.717493
- unmistakable 0.717410
- bloodshot 0.716265
- flicker 0.715767
- puzzle 0.714682
- husky 0.714146
- purse 0.713228
- shai 0.711572
- damian 0.710480
- flush 0.709285
- unfocused 0.708831
- caroline 0.707336
- rasp 0.707310
- lapel 0.706776
- ronni 0.706228
- tolonen 0.705897
- muted 0.704427
- christina 0.703125
- chieh 0.702983
- plaintive 0.701320
- vass 0.701032
- unblinking 0.698934
- jake 0.698766
- nod 0.698206
- alert 0.695570
- glare 0.695168
- twinkle 0.693763
- claudia 0.693143
- mutinous 0.692753
- kate 0.692170
- eochaid 0.691403
- whisper 0.689638
- rage 0.689025
- steely 0.688830
- grimace 0.688735
- emilia 0.687670
- fury 0.687310
- theda 0.687245
- tease 0.687172
- wince 0.686023
- contemptuous 0.685895
- whisper 0.685259
- amazement 0.685009
- insolent 0.683826
face.
His voice.
his eyes.
tones in which he had spoken.
smile.
eyes.
face.
face.
mouth.
mouth.
eyes.
eyes.
smile.
smile.
a stare.
His expression.
a voice.
voices.
smile.
face.
face.
face.
of smiles.
smile.
smile.
voice.
the voice of his young wife.
voice.
self.
gesture.
challenge.
two-finger salutes.
noise.
expression.
smile.
smile.
smile.
smile.
smile.
voice.
voice.
of tones.
young face.
tones of newscasters and commentators.
tone.
nod.
The tone of the interviewer.
eye.
aspects.
in her eyes.
brown eyes.
gaze.
tears.
gaze.
The brown , smoky eyes.
her eyes.
a look.
his expression.
guffaw.
voice.
grin.
face.
smiles.
smile.
smile.
voice.
female voice.
tone.
eyes.
grin.
The cursory glances thrown at him through the smoky atmosphere.
his tone.
voice.
glances.
glance.
voice.
His eyes.
his expression.
look.
tone.
tone.
voice.
her expression.
face.
grimace.
plasticine face.
side.
tone.
a smile.
smile that rarely left his face.
smile.
voice with which the American gentleman had charmed many since his arrival.
tones.
tone.
smile.
look.
in his voice.
gesture.
smile.
so.
a smile that.
his voice.
tone.
smile.
leer.
a face.
smile.
smile on his face.
smile with no hint of hostility.
her voice.
less.
NNface
NNvoice
NNeye
NNtone
VVspeak
NNsmile
NNeye
NNface
NNface
NNmouth
NNmouth
NNeye
NNeye
NNsmile
NNsmile
NNstare
NNexpression
NNvoice
NNvoice
NNsmile
NNface
NNface
NNface
NNsmile
NNsmile
NNsmile
NNvoice
NNvoice
JJyoung
NNwife
NNvoice
NNself
NNgesture
NNchallenge
NNtwo-finger
NNsalute
NNnoise
NNexpression
NNsmile
NNsmile
NNsmile
NNsmile
NNsmile
NNvoice
NNvoice
NNtone
JJyoung
NNface
NNtone
NNnewscaster
NNcommentator
NNtone
NNnod
NNtone
NNinterviewer
NNeye
NNaspect
NNeye
JJbrown
NNeye
VVgaze
NNtear
VVgaze
JJbrown
JJsmoky
NNeye
NNeye
NNlook
NNexpression
NNguffaw
NNvoice
NNgrin
NNface
NNsmile
NNsmile
NNsmile
NNvoice
JJfemale
NNvoice
NNtone
NNeye
NNgrin
JJcursory
NNglance
VVthrow
JJsmoky
NNatmosphere
NNtone
NNvoice
NNglance
NNglance
NNvoice
NNeye
NNexpression
VVlook
NNtone
NNtone
NNvoice
NNexpression
NNface
VVgrimace
NNplasticine
NNface
NNside
NNtone
NNsmile
NNsmile
VVleave
NNface
NNsmile
NNvoice
JJAmerican
NNgentleman
VVcharm
JJmany
NNarrival
NNtone
NNtone
NNsmile
VVlook
NNvoice
NNgesture
NNsmile
NNsmile
NNvoice
NNtone
NNsmile
JJlee
NNface
NNsmile
NNsmile
NNface
NNsmile
NNhint
NNhostility
NNvoice
Cluster #0 : 67 instances
face
eye
smile
eye
face
face
mouth
mouth
eye
eye
smile
smile
stare
smile
face
face
face
smile
smile
smile
gesture
smile
smile
smile
smile
smile
face
nod
eye
eye
eye
gaze
tear
gaze
eye
eye
grin
face
smile
smile
smile
eye
grin
glance
glance
glance
eye
face
grimace
face
smile
smile
face
smile
smile
gesture
smile
smile
smile
face
smile
smile
face
smile
Cluster #1 : 33 instances
voice
tone
speak
voice
voice
voice
voice
voice
voice
voice
tone
tone
tone
tone
voice
voice
voice
tone
tone
voice
voice
tone
tone
voice
tone
voice
tone
tone
voice
voice
tone
voice
Cluster #16 : 7 instances
expression
expression
expression
expression
expression
Cluster #0 67 instances
- smile 0.957304
- eye 0.935421
- face 0.913222
- grin 0.894940
- smile 0.891289
- brow 0.878412
- blush 0.875064
- lip 0.863547
- gaze 0.856955
- lucenzo 0.845061
- cheek 0.843687
- stare 0.839672
- blink 0.826336
- ear 0.815327
- gleam 0.813854
- glint 0.813464
- mouth 0.812399
- pained 0.810448
- startle 0.808969
- gaze 0.805553
- eyelid 0.802305
- expressionless 0.802045
- disbelief 0.801487
- purse 0.796057
- quizzical 0.795161
- frown 0.795110
- kiss 0.791564
- lapel 0.788191
- glance 0.781342
- chin 0.779330
- grin 0.778226
- rumple 0.777174
- scowl 0.776038
- shai 0.775874
- isabel 0.772814
- fitzalan 0.768290
- bloodshot 0.767905
- eyebrow 0.767634
- hers 0.767434
- unblinking 0.767343
- wry 0.766535
- finn 0.763255
- astonishment 0.762654
- tear 0.762531
- steely 0.761402
- tung 0.759649
- wince 0.759232
- forehead 0.758015
- handkerchief 0.757028
- stare 0.755990
- twinkle 0.755493
- swivelled 0.751417
- madra 0.747141
- flicker 0.745597
- impassive 0.743046
- cheek 0.742626
- beady 0.742235
- shiona 0.740880
- ronni 0.740571
- downcast 0.739736
- bleary 0.736806
- nostril 0.735950
- stiffen 0.734790
- murmur 0.734665
- bewilderment 0.734353
- mutinous 0.733669
- caroline 0.733444
- ruth 0.732805
- maggie 0.732610
- blotchy 0.729487
- fincara 0.729000
- flush 0.728341
- amusement 0.728104
- pallor 0.727473
- hood 0.727326
- rosalba 0.725815
- theda 0.724972
- damian 0.724331
- twitch 0.724314
- amused 0.724290
- glare 0.723327
- devore 0.720844
- nose 0.720455
- throat 0.719805
- hug 0.719442
- britta 0.719321
- resigned 0.718689
- palea 0.718579
- piercing 0.718095
- guido 0.715647
- melanie 0.715401
- tremble 0.715259
- grimace 0.715123
- seeming 0.713671
- unfocused 0.713412
- christina 0.713167
- gesture 0.710499
- tolonen 0.709659
- faint 0.707393
- nicolo 0.707038
Cluster #1 33 instances
- voice 0.959462
- tone 0.909214
- whisper 0.836473
- sound 0.824725
- husky 0.821689
- growl 0.819929
- laughter 0.790041
- sarcasm 0.786385
- loud 0.782380
- plaintive 0.776822
- timbre 0.768038
- inaudible 0.758417
- hiss 0.757274
- muffle 0.751131
- whine 0.745101
- utter 0.737956
- coo 0.731901
- speak 0.730385
- sound 0.726414
- throaty 0.725961
- snide 0.721306
- startle 0.719666
- charsky 0.713584
- shrill 0.712423
- undertone 0.708725
- peal 0.708547
- hear 0.707278
- murmur 0.705807
- minna 0.703306
- disbelief 0.702942
- listener 0.696936
- quaver 0.693518
- slur 0.693419
- audible 0.692600
- hoarse 0.691852
- lilt 0.691303
- guttural 0.691090
- cadfael 0.691032
- listen 0.689240
- word 0.680448
- hiss 0.676753
- melodious 0.674942
- croak 0.673391
- saidâ 0.671455
- incredulous 0.670981
- ear 0.668150
- loudness 0.664497
- amazement 0.662026
Cluster #16 7 instances
- expression 1.000000
- expressive 0.711645
- tone 0.662526