City of Life and Death
2009 · 132 min · Director: Chuan Lu, Lu Chuan
Show plot summary (may contain spoilers)
In 1937, Japan occupied Nanjing, the Chinese capital. There was a battle and subsequent atrocities against the inhabitants, especially those who took refuge in the International Security Zone.
Emotional fingerprint
City of Life and Death (2009) — Movie. Top emotional signals: Sadness 38%, Fear 24%, Empathy 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Sadness38%
- Fear24%
- Empathy20%
- Disturbing10%
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, Fear, Empathy. Genres: Drama, History, War. AI estimate.
Is it worth watching?
Consider this title if you are looking for Sadness, Fear and Empathy. Its IMDb rating of 7.7/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 75/100.
How did it make you feel?
Votes are saved to the fingerprint once you’re signed in.
Pick up to three · 0/3
Emotional journey
- Sympathy
- Tension
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion: Sympathy
Dominant emotion: Disturbing
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Sympathy | Tension | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Tension | 63 % | 38 % | 63 % | 22 % |
| 7.5 % | ≈ 10′ | Tension | 64 % | 40 % | 64 % | 21 % |
| 12.5 % | ≈ 17′ | Tension | 67 % | 45 % | 67 % | 25 % |
| 17.5 % | ≈ 23′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 22.5 % | ≈ 30′ | Tension | 75 % | 45 % | 70 % | 30 % |
| 27.5 % | ≈ 36′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 32.5 % | ≈ 43′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 37.5 % | ≈ 50′ | Sadness | 75 % | 67 % | 48 % | 58 % |
| 42.5 % | ≈ 56′ | Tension | 76 % | 66 % | 63 % | 54 % |
| 47.5 % | ≈ 63′ | Sadness | 75 % | 69 % | 66 % | 60 % |
| 52.5 % | ≈ 69′ | Sympathy | 73 % | 69 % | 66 % | 59 % |
| 57.5 % | ≈ 76′ | Tension | 79 % | 73 % | 76 % | 59 % |
| 62.5 % | ≈ 83′ | Disturbing | 88 % | 81 % | 75 % | 74 % |
| 67.5 % | ≈ 89′ | Sadness | 86 % | 83 % | 63 % | 79 % |
| 72.5 % | ≈ 96′ | Sympathy | 84 % | 81 % | 65 % | 76 % |
| 77.5 % | ≈ 102′ | Sadness | 88 % | 84 % | 76 % | 76 % |
| 82.5 % | ≈ 109′ | Sympathy | 89 % | 85 % | 81 % | 74 % |
| 87.5 % | ≈ 116′ | Sympathy | 88 % | 87 % | 83 % | 77 % |
| 92.5 % | ≈ 122′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 97.5 % | ≈ 129′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗
Kadri — your film companion
AIAsk anything about City of Life and Death. From the film’s own dialogue and FeelDB data, at your spoiler level.
Afterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
0 responses so far
Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Kadokawa
John Rabe
Minnie Vautrin
Mrs. Tang
'May' Zhou Xiaomei
Shunzi
Durdin
Doctor
Mr. Tomita
Higashiguchi
Yuriko
Tang Family Nanny
Xiao Dou
Details
Where to watch
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
