The Notebook (2004) Cast & Characters — QuantCinema

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CAST · THE NOTEBOOK

Faces & feelings

Per-character screen time, dialogue and emotion breakdown — derived from face recognition + expression classifier across every frame.

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Faces detected

24,508

across full runtime

Named matches

14

actors identified

Close-up shots

28.9%

of all framed shots

Smile rate

17.2%

frames with detected joy

Gender split

59%

41%

M / F · screen-time weighted

Dominant emotion

Neutral 30%

film-wide aggregate

Most expressive

Sam Shepard

69% non-neutral

Lead screen share

33%

14 tracked characters

Overall emotion distribution

7 emotions · all characters · screen-time weighted

Happy

17.2%

4,226 frames

Surprise

4.9%

1,197 frames

Neutral

29.9%

7,333 frames

Fear

13.8%

3,381 frames

Sad

20.3%

4,971 frames

Angry

7.1%

1,736 frames

Disgust

6.8%

1,664 frames

Screen time by actor

14 named · 94m tracked of 123.8m

01

Rachel McAdams

as Allie Hamilton · 4469 scenes

31.1min · 33% of cast

happy

02

Ryan Gosling

as Noah Calhoun · 3592 scenes

25.0min · 27% of cast

neutral

03

James Garner

as Older Noah "Duke" · 1531 scenes

10.6min · 11% of cast

sad

04

Gena Rowlands

as Older Allie · 1339 scenes

9.3min · 10% of cast

sad

05

Joan Allen

as Anne Hamilton · 778 scenes

5.4min · 6% of cast

disgust

06

James Marsden

as Lon Hammond · 553 scenes

3.8min · 4% of cast

neutral

07

Kevin Connolly

as Fin · 359 scenes

2.5min · 3% of cast

sad

08

Sam Shepard

as Frank Calhoun · 350 scenes

2.4min · 3% of cast

neutral

09

David Thornton

as John Hamilton · 181 scenes

1.3min · 1% of cast

happy

10

Starletta DuPois

as Nurse Esther · 112 scenes

0.8min · 1% of cast

surprise

11

Jennifer Echols

as Nurse Selma · 100 scenes

0.7min · 1% of cast

surprise

12

Heather Wahlquist

as Sara Tuffington · 67 scenes

0.5min · 1% of cast

happy

13

Thunderbird Dinwiddie

as Veronica · 26 scenes

0.2min · 0% of cast

happy

14

Cullen Moss

as Bodee · 23 scenes

0.2min · 0% of cast

disgust

Dialogue by character

words spoken · WPM · share of total dialogue

NOTE — speaker matching uses face-detection overlap; actors not recognized by the AI appear as unidentified.

Actor / Character	Words spoken	WPM	% of dialogue
Ryan Gosling as Noah Calhoun	1,686	237.6	21.3%
Rachel McAdams as Allie Hamilton	1,565	183.8	19.8%
James Garner as Older Noah "Duke"	1,451	202.9	18.3%
Joan Allen as Anne Hamilton	746	169.1	9.4%
James Marsden as Lon Hammond	694	202	8.8%
Gena Rowlands as Older Allie	380	229.3	4.8%
Sam Shepard as Frank Calhoun	361	271.5	4.6%
Jennifer Echols as Nurse Selma	251	231.6	3.2%
Kevin Connolly as Fin	234	236	3.0%
David Thornton as John Hamilton	173	262.1	2.2%
Unidentified speakers	159	—	2.0%
Starletta DuPois as Nurse Esther	115	231.9	1.5%
Heather Wahlquist as Sara Tuffington	108	159.5	1.4%

Cast profiles

arc · volatility · emotion breakdown per actor

AH

Rachel McAdams

AS ALLIE HAMILTON

● Dominant: happy

Screen time

31m 04s

Scenes

4469

First seen

5:27

Last seen

105:59

Volatility

29 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

36%

Happy

3%

Surprise

12%

Neutral

6%

Fear

29%

Sad

8%

Angry

5%

Disgust

NC

Ryan Gosling

AS NOAH CALHOUN

● Dominant: neutral

Screen time

24m 58s

Scenes

3592

First seen

5:16

Last seen

106:00

Volatility

34 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

19%

Happy

3%

Surprise

26%

Neutral

4%

Fear

19%

Sad

12%

Angry

18%

Disgust

ON

James Garner

AS OLDER NOAH "DUKE"

● Dominant: sad

Screen time

10m 38s

Scenes

1531

First seen

3:18

Last seen

118:07

Volatility

39 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

6%

Happy

7%

Surprise

25%

Neutral

9%

Fear

27%

Sad

19%

Angry

8%

Disgust

OA

Gena Rowlands

AS OLDER ALLIE

● Dominant: sad

Screen time

9m 19s

Scenes

1339

First seen

2:35

Last seen

118:06

Volatility

20 Low

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

14%

Happy

1%

Surprise

7%

Neutral

2%

Fear

69%

Sad

2%

Angry

4%

Disgust

AH

Joan Allen

AS ANNE HAMILTON

● Dominant: disgust

Screen time

5m 25s

Scenes

778

First seen

26:08

Last seen

95:16

Volatility

38 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

20%

Happy

2%

Surprise

16%

Neutral

1%

Fear

24%

Sad

10%

Angry

28%

Disgust

LH

James Marsden

AS LON HAMMOND

● Dominant: neutral

Screen time

3m 50s

Scenes

553

First seen

49:20

Last seen

105:09

Volatility

42 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

19%

Happy

7%

Surprise

36%

Neutral

0%

Fear

18%

Sad

10%

Angry

10%

Disgust

F

Kevin Connolly

AS FIN

● Dominant: sad

Screen time

2m 30s

Scenes

359

First seen

5:14

Last seen

48:51

Volatility

31 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

17%

Happy

7%

Surprise

32%

Neutral

4%

Fear

34%

Sad

0%

Angry

7%

Disgust

FC

Sam Shepard

AS FRANK CALHOUN

● Dominant: neutral

Screen time

2m 26s

Scenes

350

First seen

19:60

Last seen

55:31

Volatility

48 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

22%

Happy

4%

Surprise

31%

Neutral

2%

Fear

19%

Sad

21%

Angry

2%

Disgust

JH

David Thornton

AS JOHN HAMILTON

● Dominant: happy

Screen time

1m 16s

Scenes

181

First seen

25:23

Last seen

53:52

Volatility

18 Low

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

61%

Happy

1%

Surprise

27%

Neutral

0%

Fear

1%

Sad

11%

Angry

0%

Disgust

NE

Starletta DuPois

AS NURSE ESTHER

● Dominant: surprise

Screen time

0m 47s

Scenes

112

First seen

3:04

Last seen

117:52

Volatility

42 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

9%

Happy

31%

Surprise

13%

Neutral

8%

Fear

27%

Sad

5%

Angry

7%

Disgust

NS

Jennifer Echols

AS NURSE SELMA

● Dominant: surprise

Screen time

0m 42s

Scenes

100

First seen

4:13

Last seen

109:54

Volatility

44 Med

Emotional arc — 30 segments~4m per bucket

00:0030m61m92m123.8m

7%

Happy

38%

Surprise

19%

Neutral

2%

Fear

21%

Sad

11%

Angry

2%

Disgust

ST

Heather Wahlquist

AS SARA TUFFINGTON

● Dominant: happy

Screen time

0m 28s

Scenes

67

First seen

5:25

Last seen

27:57

Too few detections for emotion analysis

V

Thunderbird Dinwiddie

AS VERONICA

● Dominant: happy

Screen time

0m 11s

Scenes

26

First seen

26:04

Last seen

27:57

Too few detections for emotion analysis

B

Cullen Moss

AS BODEE

● Dominant: disgust

Screen time

0m 10s

Scenes

23

First seen

26:13

Last seen

27:56

Too few detections for emotion analysis

Speaker diarization

talk-time · turns · pacing per speaker

Talk-time share · 17 clusterssums to 99.9% of all dialogue

Gosling 16.4%

McAdams 19.7%

Garner 16.5%

Allen 10.2%

Marsden 7.9%

Unknown 11.3%

First-word entry · per speakerdot = first line · trail = on-screen window · 11 ensemble

0:0030:5761:5492:51123:48

runtime

James Garner

3:20enter

Jennifer Echols

3:55enter

Gena Rowlands

4:04enter

Kevin Connolly

5:09enter

Ryan Gosling

5:23enter

Joan Allen

5:48enter

Rachel McAdams

5:60enter

James Marsden

6:05enter

Heather Wahlquist

6:22enter

SPEAKER 20

9:49enter

David Thornton

11:53enter

Sam Shepard

16:13enter

SPEAKER 11

18:04enter

SPEAKER 12

23:07enter

SPEAKER 02

29:36enter

SPEAKER 00

59:53enter

Starletta DuPois

73:16enter

Ryan GoslingSPEAKER 03

Rapid exchange

16.4%

of all dialogue · 1,686 words · 7:06 spoken

WPM237.6

Turns402

Avg turn1.2s

Longest8.0s

enters at 5:23profanity 7

Rachel McAdamsSPEAKER 19

Rapid exchange

19.7%

of all dialogue · 1,565 words · 8:31 spoken

WPM183.8

Turns443

Avg turn1.2s

Longest19.1s

enters at 5:60profanity 3

James GarnerSPEAKER 26

Rapid exchange

16.5%

of all dialogue · 1,451 words · 7:09 spoken

WPM202.9

Turns297

Avg turn1.7s

Longest11.6s

enters at 3:20profanity 1

Joan AllenSPEAKER 05

Rapid exchange

10.2%

of all dialogue · 746 words · 4:25 spoken

WPM169.1

Turns303

Avg turn1.1s

Longest9.6s

enters at 5:48profanity 1

James MarsdenSPEAKER 09

Rapid exchange

7.9%

of all dialogue · 694 words · 3:26 spoken

WPM202

Turns150

Avg turn1.2s

Longest12.1s

enters at 6:05profanity 2

Gena RowlandsSPEAKER 17

Conversational

3.8%

of all dialogue · 380 words · 1:40 spoken

WPM229.3

Turns136

Avg turn0.9s

Longest5.9s

enters at 4:04profanity 1

Sam ShepardSPEAKER 36

Brief

3.1%

of all dialogue · 361 words · 1:20 spoken

WPM271.5

Turns77

Avg turn1.4s

Longest7.9s

enters at 16:13profanity 2

Jennifer EcholsSPEAKER 32

Brief

2.5%

of all dialogue · 251 words · 1:05 spoken

WPM231.6

Turns84

Avg turn1.4s

Longest11.2s

enters at 3:55profanity 0

Kevin ConnollySPEAKER 30

Brief

2.3%

of all dialogue · 234 words · 0:60 spoken

WPM236

Turns49

Avg turn1.3s

Longest7.6s

enters at 5:09profanity 0

David ThorntonSPEAKER 27

Brief

1.5%

of all dialogue · 173 words · 0:40 spoken

WPM262.1

Turns41

Avg turn1.4s

Longest5.6s

enters at 11:53profanity 0

Starletta DuPoisSPEAKER 24

Brief

1.1%

of all dialogue · 115 words · 0:30 spoken

WPM231.9

Turns32

Avg turn1.1s

Longest2.5s

enters at 73:16profanity 0

Heather WahlquistSPEAKER 18

Brief

1.6%

of all dialogue · 108 words · 0:41 spoken

WPM159.5

Turns33

Avg turn1.4s

Longest4.5s

enters at 6:22profanity 0

Unknown SpeakerSPEAKER 00 · unmatched

Brief

1.2%

of all dialogue · 89 words · 0:32 spoken

WPM169.3

Turns24

Avg turn1.2s

Longest3.3s

enters at 59:53profanity 0

Unknown SpeakerSPEAKER 20 · unmatched

Brief

0.3%

of all dialogue · 27 words · 0:07 spoken

WPM221.3

Turns10

Avg turn1.2s

Longest5.4s

enters at 9:49profanity 0

Unknown SpeakerSPEAKER 12 · unmatched

Brief

0.1%

of all dialogue · 20 words · 0:04 spoken

WPM342.9

Turns13

Avg turn1.0s

Longest2.3s

enters at 23:07profanity 0

Unknown SpeakerSPEAKER 11 · unmatched

Brief

0.4%

of all dialogue · 12 words · 0:11 spoken

WPM65.9

Turns8

Avg turn2.8s

Longest6.6s

enters at 18:04profanity 0

Unknown SpeakerSPEAKER 02 · unmatched

Brief

11.3%

of all dialogue · 11 words · 4:53 spoken

WPM2.3

Turns12

Avg turn1.1s

Longest4.2s

enters at 29:36profanity 0

AGGREGATE — 14 unique characters · 24,508 faces detected · 14 named matches · 94m screen-time tracked