feeldb

Dearest

2014 · 128 min · Director: Peter Ho-Sun Chan, Peter Chan ★ IMDb 7.6 · 2,800 ratings

Show plot summary (may contain spoilers)

After their 4-year old son was kidnapped from a super-crowded city, a divorced couple, joined by many parents who are in the same desperate situation, started to work together to find him. Fortunately they have the son back after 3 years, but the trouble does not end here.

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Emotional fingerprint

Dearest (2014) — Movie. Top emotional signals: Sadness 35%, Empathy 26%, Melancholy 18%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Hope9%

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 Sadness, Empathy, Melancholy. Genres: Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Sadness, Empathy and Melancholy. Its IMDb rating of 7.6/10 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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Emotional journey

AI · from subtitles
  • Empathy
  • Sadness
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Empathy

Dominant emotion: Tension

Dominant emotion: Sadness

Empathy
Sadness
Tension
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 43 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityEmpathySadnessTension
2.5 %≈ 3′Empathy30 %23 %10 %20 %
7.5 %≈ 10′Tension50 %40 %29 %43 %
12.5 %≈ 16′Empathy68 %60 %53 %56 %
17.5 %≈ 22′Sadness73 %69 %65 %45 %
22.5 %≈ 29′Sadness69 %68 %63 %29 %
27.5 %≈ 35′Empathy61 %57 %49 %29 %
32.5 %≈ 42′Tension64 %51 %44 %50 %
37.5 %≈ 48′Tension79 %61 %53 %74 %
42.5 %≈ 54′Tension86 %73 %56 %76 %
47.5 %≈ 61′Empathy81 %74 %59 %60 %
52.5 %≈ 67′Sadness76 %73 %64 %45 %
57.5 %≈ 74′Empathy71 %69 %59 %39 %
62.5 %≈ 80′Empathy69 %66 %55 %35 %
67.5 %≈ 86′Sadness75 %73 %63 %39 %
72.5 %≈ 93′Empathy81 %79 %69 %54 %
77.5 %≈ 99′Sadness81 %79 %71 %59 %
82.5 %≈ 106′Sadness75 %70 %64 %49 %
87.5 %≈ 112′Empathy70 %63 %54 %44 %
92.5 %≈ 118′Empathy75 %70 %61 %39 %
97.5 %≈ 125′Sadness82 %80 %73 %25 %
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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Feeling details appear after at least 3 viewers respond, to protect privacy.

Cast

Zhao Wei

Li Hongqin

DT
Dawei Tong

HL
Hao Lei

Lu Xiaojuan

TD
Tong Dawei

Gao Xia

Zhang Yi

Han Dezhong

ZY
Zhang Yuqi

Fan Yun

ZG
Zhang Guoqiang

Lu's Husband

YA
Yu Ailei

Detective Liu Xiandong

HJ
Huang Jianxin

Fan Yuanchang

LJ
Li Junru

Brother Lou

HX
Hou Xiangbiao

Thief from Hebei

LD
Liu Di

Tang Qingshan

LY
Li Yiqing

Yang Jifang

Details

Written by
Ji Zhang, Zhang Ji
Type
Movies
Released
2014
Runtime
128 min
Country
China, Hong Kong
Genres
Drama
Ratings
★ IMDb 7.6 · 2,800 ratings
Feels mostly
Sadness
Data updated

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