Expressor (Contrition)
Stats
- Average : 0.743218
- Std dev. : 0.0544109
- Min : 0.688807
- Max : 0.864972
- FEs : 23
Descriptors
Legend = verbs; nouns; adjectives; proper noun; french
- startle 0.864972
- smile 0.861348
- face 0.852601
- eye 0.841862
- smile 0.841093
- gaze 0.826289
- disbelief 0.826214
- lucenzo 0.819203
- brow 0.811843
- blink 0.811008
- tear 0.805229
- grin 0.803978
- blush 0.800925
- stare 0.799362
- quizzical 0.796403
- lip 0.791006
- cheek 0.790353
- frown 0.787286
- gaze 0.786388
- laugh 0.784450
- caroline 0.784043
- expressionless 0.783608
- stare 0.782982
- maggie 0.778925
- grin 0.778261
- mock 0.775304
- ear 0.774154
- astonishment 0.772867
- ruth 0.770133
- pained 0.762285
- laughter 0.760876
- angry 0.760432
- shocked 0.755106
- murmur 0.753777
- muffle 0.751411
- gleam 0.750540
- damian 0.747249
- meredith 0.744418
- purse 0.744217
- melanie 0.743270
- glare 0.741434
- jake 0.738376
- sardonic 0.736604
- whisper 0.734847
- glance 0.733244
- shai 0.732230
- grimace 0.730681
- bewilderment 0.729985
- finn 0.729621
- kate 0.729395
- bleary 0.729017
- gabriel 0.728101
- kiss 0.727908
- eyelid 0.726430
- isabel 0.725965
- puzzle 0.724422
- flush 0.724243
- glint 0.723544
- scowl 0.723367
- bloodshot 0.722562
- piercing 0.722383
- drawl 0.720101
- wry 0.719972
- unfocused 0.718986
- ashen 0.717622
- expression 0.716700
- eyebrow 0.715927
- nod 0.715130
- steely 0.714395
- twinkle 0.713786
- robyn 0.713570
- christina 0.712073
- undisguised 0.710050
- emilia 0.708854
- theda 0.707957
- fand 0.706534
- mouth 0.706495
- faint 0.706468
- contemptuous 0.706397
- claudia 0.706125
- flicker 0.705853
- voice 0.705114
- seeming 0.700677
- amused 0.699946
- fincara 0.699045
- gasp 0.698343
- incredulous 0.695602
- carrie 0.694303
- impassive 0.693758
- unblinking 0.692847
- hug 0.692564
- th 0.692174
- maman 0.691794
- fury 0.691615
- fitzalan 0.691131
- inscrutable 0.691108
- sigh 0.690795
- juliet 0.689724
- unmistakable 0.689417
- britta 0.688807
line.
his voice.
his expression.
tears.
eyes.
an anguished expression that.
expression.
in Rose 's face.
Aunt Sarah 's voice.
tale.
tale.
blush.
blush.
expression.
look on his face.
look in my eyes.
looks.
smile.
lowering of her head as she glanced at Petion.
his eyes.
stare.
voice.
Her voice and expression.
NNline
NNvoice
NNexpression
NNtear
NNeye
VVanguish
NNexpression
NNexpression
NPRose
VVface
NNaunt
NPSarah
VVvoice
NNtale
NNtale
NNblush
NNblush
NNexpression
VVlook
NNface
VVlook
NNeye
VVlook
NNsmile
VVlower
NNhead
VVglance
NPPetion
NNeye
NNstare
NNvoice
NNvoice
NNexpression
Cluster #1 : 4 instances
Cluster #2 : 5 instances
expression
expression
expression
expression
expression
Cluster #3 : 10 instances
tear
eye
blush
blush
face
eye
smile
stare
Cluster #8 : 3 instances
Cluster #10 : 2 instances
Cluster #11 : 3 instances
Cluster #1 4 instances
- voice 1.000000
- growl 0.858724
- whisper 0.843904
- husky 0.815319
- laughter 0.814840
- sound 0.806369
- hiss 0.806293
- loud 0.789576
- whine 0.774668
- hear 0.774165
- plaintive 0.766145
- shrill 0.760764
- tone 0.755844
- murmur 0.753412
- peal 0.749962
- sarcasm 0.749321
- muffle 0.746605
- utter 0.744613
- coo 0.744109
- croak 0.739309
- cry 0.738774
- scream 0.734872
- guttural 0.732809
- inaudible 0.731498
- slur 0.723706
- whisper 0.719292
- hiss 0.719033
- startle 0.712636
- throaty 0.710523
- charsky 0.709966
- listen 0.709053
- speak 0.706537
- quaver 0.702693
- sound 0.701267
- audible 0.696000
- hoarse 0.692181
- linnet 0.689117
- minna 0.687934
- snide 0.686673
- timbre 0.686316
- disbelief 0.682883
- clatter 0.681755
- rumble 0.678566
- patter 0.673942
- undertone 0.668084
- shout 0.667304
- wail 0.666553
- sing 0.664388
- incredulous 0.663068
- amazement 0.662788
- laugh 0.661367
- mutter 0.659929
- astonishment 0.659829
- grunt 0.656640
- footfall 0.656462
- saidâ 0.655173
- mutter 0.653935
- roar 0.653105
- melodious 0.648603
- screech 0.646490
- shout 0.645074
- vologsky 0.642718
- loudness 0.642279
- cadfael 0.642058
- fakrid 0.641322
- silence 0.640424
- laugh 0.638537
- hertz 0.638483
- gog 0.635644
- hackle 0.635437
- ear 0.634484
- exclamation 0.633382
- mock 0.632272
- thunder 0.631365
- whistle 0.631038
- rasp 0.630124
- cry 0.630075
- babble 0.629277
- hush 0.627987
- incredulity 0.624178
- corbett 0.622172
- lilt 0.620973
- comfort 0.619136
- chime 0.618241
- angry 0.618216
- tinny 0.618099
- thud 0.616852
- din 0.616645
- vehemence 0.614976
- squeaky 0.613742
- miguelito 0.613495
- squeal 0.613101
- whispering 0.612739
- bleep 0.612401
- mumble 0.611547
- listener 0.610889
- gasp 0.609072
- drawl 0.606922
- shocked 0.606490
- sob 0.605165
Cluster #2 5 instances
- expression 1.000000
- expressive 0.711645
- tone 0.662526
- inscrutable 0.654115
- spectral 0.640383
- unmistakable 0.624291
- intensity 0.623520
- manner 0.622955
- brightness 0.622683
- stimulus 0.619757
- sardonic 0.617604
- hypnotic 0.609967
- impassive 0.600081
- sign 0.597704
- mock 0.588722
- plaintive 0.588076
- modulate 0.587644
- jaq 0.587595
- undisguised 0.587001
- reflectance 0.585599
- disposition 0.584518
- countenance 0.579104
- flash 0.578125
- shocked 0.577456
- muffle 0.576154
- startle 0.572615
- face 0.566763
- disbelief 0.565633
- radiance 0.565236
- evoke 0.564258
- emotion 0.563266
- steely 0.557539
- locus 0.557458
- flicker 0.556628
- eye 0.554228
- resonance 0.552705
- sullen 0.552685
Cluster #3 10 instances
- eye 0.895101
- blush 0.884281
- stare 0.882999
- face 0.874780
- pained 0.865480
- cheek 0.863781
- lip 0.862933
- eyelid 0.862189
- smile 0.858801
- gaze 0.858639
- fincara 0.858154
- blush 0.857080
- gleam 0.855132
- brow 0.851260
- glint 0.843942
- lucenzo 0.836292
- softness 0.834726
- blink 0.832723
- bloodshot 0.823420
- britta 0.819137
- grin 0.819085
- mesmerize 0.813524
- tear 0.811379
- expressionless 0.810653
- hers 0.810611
- blotchy 0.806499
- quiver 0.803517
- throat 0.802559
- mouth 0.801944
- piercing 0.801886
- purse 0.797769
- stiffen 0.796974
- twitch 0.796222
- rage 0.795820
- scowl 0.795481
- eyelash 0.794762
- steely 0.793065
- palea 0.787126
- nipple 0.786395
- smile 0.786321
- rumple 0.785265
- downcast 0.784685
- crease 0.783555
- hood 0.782215
- unblinking 0.781827
- ronni 0.781279
- bewilderment 0.779416
- sere 0.777459
- pallor 0.776314
- flay 0.775262
- quizzical 0.774656
- startle 0.773970
- unruffled 0.773185
- wry 0.770733
- caress 0.768298
- isabel 0.767500
- tremble 0.767239
- kiss 0.767119
- flush 0.766730
- boyish 0.761002
- ear 0.760931
- flinch 0.760080
- lapel 0.760031
- twinkling 0.759771
- wince 0.759532
- quiver 0.759041
- flicker 0.756629
- tuan 0.756387
- scarlet 0.755773
- frown 0.755301
- bleary 0.753188
- chin 0.751668
- mutinous 0.750724
- amused 0.749473
- cheek 0.749153
- faint 0.746319
- prickle 0.746021
- blotch 0.745538
- angry 0.745309
- jezrael 0.742338
- handkerchief 0.742289
- robyn 0.742284
- stubble 0.742248
- nicolo 0.740097
- taut 0.739196
- perspiration 0.738630
- disbelief 0.738626
- prickle 0.738314
- droop 0.738228
- pucker 0.738087
- tenderness 0.737890
- eyebrow 0.737683
- caroline 0.736708
- wetness 0.736136
- breath 0.736017
- lash 0.735911
- shai 0.735852
- impassive 0.735311
- nuadu 0.734806
- puffy 0.734726
Cluster #8 3 instances
- sarah 0.917896
- aunt 0.914171
- anna 0.903854
- alice 0.892668
- marie 0.890616
- rose 0.889522
- lily 0.880904
- pamela 0.860446
- agnes 0.857653
- anne 0.853019
- maria 0.848496
- rachel 0.846405
- susan 0.833752
- louise 0.830574
- uncle 0.829286
- sister 0.821224
- kate 0.814675
- mother 0.806165
- ellen 0.804753
- angel 0.802308
- katherine 0.800197
- sally 0.798941
- helen 0.798075
- mother 0.795889
- miss 0.794738
- emily 0.793989
- peggy 0.791023
- grandmother 0.786782
- eleanor 0.785515
- harry 0.785191
- paula 0.784380
- tess 0.783962
- constance 0.783386
- kathleen 0.783309
- jane 0.782545
- mama 0.780522
- heathcliff 0.779903
- beth 0.779787
- oliver 0.778421
- betty 0.777923
- sara 0.776763
- madeleine 0.770504
- elizabeth 0.770456
- tina 0.768917
- stych 0.768843
- lady 0.768447
- carrie 0.764761
- louisa 0.763723
- nora 0.763339
- shelley 0.762811
- lizzie 0.762364
- matthew 0.762008
- sophie 0.758941
- linton 0.758307
- havisham 0.758032
- annie 0.757694
- valerie 0.756346
- charlotte 0.756253
- catherine 0.755459
- emma 0.753930
- dad 0.753747
- dorothy 0.753651
- isobel 0.752867
- irene 0.750389
- laura 0.749149
- durbeyfield 0.748903
- matilda 0.747974
- benedict 0.746118
- princess 0.746046
- gabriel 0.745371
- nellie 0.743501
- jenny 0.743437
- becky 0.743325
- clare 0.743277
- rhoda 0.742095
- hilary 0.738610
- edna 0.738028
- maggie 0.737317
- cissie 0.737071
- mrs 0.736394
- julia 0.733139
- ruth 0.733097
- daisy 0.732835
- melanie 0.732567
- signora 0.732030
- charlie 0.731092
- estella 0.730097
- mistress 0.729477
- evelyn 0.728741
- dorothea 0.728308
- stepfather 0.727237
- ellie 0.727173
- olga 0.726784
- maureen 0.726589
- jennifer 0.726462
- lavender 0.725529
- father 0.725148
- penelope 0.723797
- nevil 0.723254
- granny 0.722006
Cluster #10 2 instances
- tale 1.000000
- storey 0.852179
- story 0.847579
- poem 0.740786
- legend 0.728564
- song 0.726852
- exploit 0.726185
- poet 0.715464
- novel 0.712758
- autobiography 0.699147
- prophet 0.696468
- sequel 0.694358
- parable 0.693905
- devil 0.689575
- verse 0.688439
Cluster #11 3 instances
- look 1.000000
- look 0.835292