feeldb

Sweet Bean

2015 · 113 min · Director: Naomi Kawase ★ IMDb 7.4 · 14,517 ratings

Show plot summary (may contain spoilers)

The manager of a pancake stall finds himself confronted with an odd but sympathetic elderly woman looking for work. A taste of her homemade red bean paste convinces him to hire her, which starts a relationship that is about much more than just street food.

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Emotional fingerprint

Sweet Bean (2015) — Movie. Top emotional signals: Empathy 30%, Sadness 25%, Nostalgia 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Hope15%
  2. Relief10%

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Empathy, Sadness, Nostalgia. Genres: Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Empathy, Sadness and Nostalgia. Its IMDb rating of 7.4/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 72/100.

How did it make you feel?

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Pick up to three · 0/3

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Emotional journey

AI · from subtitles
  • Empathy
  • Sadness
  • Hope

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Empathy

Dominant emotion: Hope

Dominant emotion: Joy

Dominant emotion: Sadness

Empathy
Sadness
Hope
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 88 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityEmpathySadnessHope
2.5 %≈ 3′Curiosity30 %23 %13 %8 %
7.5 %≈ 8′Empathy38 %34 %18 %19 %
12.5 %≈ 14′Curiosity45 %39 %16 %31 %
17.5 %≈ 20′Hope46 %33 %8 %36 %
22.5 %≈ 25′Curiosity44 %25 %1 %28 %
27.5 %≈ 31′Curiosity48 %25 %0 %25 %
32.5 %≈ 37′Joy51 %28 %3 %30 %
37.5 %≈ 42′Curiosity52 %36 %19 %21 %
42.5 %≈ 48′Empathy54 %48 %34 %14 %
47.5 %≈ 54′Empathy46 %45 %29 %23 %
52.5 %≈ 59′Empathy46 %46 %31 %30 %
57.5 %≈ 65′Empathy54 %53 %43 %29 %
62.5 %≈ 71′Sadness57 %54 %48 %30 %
67.5 %≈ 76′Sadness66 %63 %57 %29 %
72.5 %≈ 82′Sadness70 %69 %60 %23 %
77.5 %≈ 88′Empathy66 %65 %54 %18 %
82.5 %≈ 93′Sadness71 %66 %64 %11 %
87.5 %≈ 99′Sadness83 %75 %80 %16 %
92.5 %≈ 105′Sadness75 %64 %66 %31 %
97.5 %≈ 110′Hope53 %35 %35 %37 %
Riches to rags

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

MN
Masatoshi Nagase

Sentaro

KU
Kyara Uchida

MM
Miki Mizuno

Wakana's Mother

EI
Etsuko Ichihara

Yoshiko

MA
Miyoko Asada

Shop Owner's Wife

TN
Taiga Nakano

Yohei

WK
Wakato Kanematsu

Wakato

S
Saki

Middle School Girl

MT
Miu Takeuchi

Middle School Girl

YM
Yurie Murata

Middle School Girl

Details

Directed by
Naomi Kawase
Written by
Naomi Kawase, Durian Sukegawa
Type
Movies
Released
2015
Runtime
113 min
Country
Japan, France, Germany
Genres
Drama
Ratings
★ IMDb 7.4 · 14,517 ratings
Feels mostly
Empathy
Data updated

Where to watch

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.