feeldb

Marry My Dead Body

2023 · 129 min · Director: Cheng Wei-hao ★ IMDb 7 · 7,998 ratings

Show plot summary (may contain spoilers)

After finding an odd envelope, Policeman Ming-han's life takes a spooky turn: He's now wed to a ghost husband, and they must solve a crime together.

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Emotional fingerprint

Marry My Dead Body (2023) — Movie. Top emotional signals: Humor 30%, Empathy 25%, Surprise 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Humor30%
  2. Love15%
  3. Relief15%

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 Humor, Empathy, Surprise. Genres: Comedy, Action, Horror. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Empathy and Surprise. Its IMDb rating of 7.0/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 69/100.

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Emotional journey

AI · from subtitles
  • Tension
  • Humor
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Tension

Dominant emotion: Humor

Dominant emotion: Sadness

Dominant emotion: Empathy

Dominant emotion: Love

Tension
Humor
Sadness
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 83 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionHumorSadness
2.5 %≈ 3′Tension48 %47 %32 %0 %
7.5 %≈ 10′Humor53 %43 %43 %3 %
12.5 %≈ 16′Humor55 %33 %53 %8 %
17.5 %≈ 23′Humor56 %31 %56 %10 %
22.5 %≈ 29′Humor56 %35 %56 %11 %
27.5 %≈ 35′Humor53 %33 %50 %16 %
32.5 %≈ 42′Humor54 %29 %38 %31 %
37.5 %≈ 48′Sadness59 %26 %34 %38 %
42.5 %≈ 55′Humor57 %29 %45 %21 %
47.5 %≈ 61′Humor56 %40 %50 %11 %
52.5 %≈ 68′Tension57 %50 %43 %14 %
57.5 %≈ 74′Tension58 %49 %33 %25 %
62.5 %≈ 81′Sadness60 %36 %29 %44 %
67.5 %≈ 87′Empathy66 %36 %30 %44 %
72.5 %≈ 94′Tension74 %61 %25 %29 %
77.5 %≈ 100′Tension80 %79 %26 %29 %
82.5 %≈ 106′Tension81 %76 %30 %41 %
87.5 %≈ 113′Empathy81 %56 %16 %59 %
92.5 %≈ 119′Sadness75 %24 %10 %57 %
97.5 %≈ 126′Love60 %5 %18 %32 %
Cinderella

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

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Cast

GH
Greg Hsu

AL
Austin Lin

GW
Gingle Wang

MN
Ma Nien-Hsien

WM
Wang Man-chiao

Mao Chen A Lan

MW
Man-Chiao Wang

CC
Cheng Chih-wei

AY
Aaron Yan

LK
Liu Kuan-ting

Police Officer

CT
Chang Tsai-hsing

DT
Dean Tong

Councilman Chen's Son

FC
Flower Chen

Chubby

EL
Emma Lin

Section Assistant

WJ
Wang Jun

Section Assistant

HZ
He Zhong-Jun

Section Assistant

LQ
Liao Qiu-kun

Section Assistant

HR
Ho Ray-Kang

Award Winner

HL
Huang Ling

Gossip Woman

XJ
Xie Jin-Yu

Gossip Woman

LH
Li Hsiu-sha

Gossip Woman

Details

Directed by
Cheng Wei-hao
Written by
Cheng Wei-hao, Sharon Wu
Type
Movies
Released
2023
Runtime
129 min
Country
Taiwan
Ratings
★ IMDb 7 · 7,998 ratings
Feels mostly
Humor
Data updated

Where to watch

Data: JustWatch · Wikidata

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