Tokyo Fiancée
2014 · 100 min · Director: Stefan Liberski
Show plot summary (may contain spoilers)
A young Japanophile Belgian woman in Tokyo falls into a whirlwind romance with a Francophile Japanese student.
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Emotional fingerprint
Tokyo Fiancée (2014) — Movie. Top emotional signals: Love 35%, Humor 25%, Smile 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
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 Love, Humor, Smile. Genres: Comedy, Drama, Romance. AI estimate.
Is it worth watching?
Consider this title if you are looking for Love, Humor and Smile. Its IMDb rating of 6.4/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 67/100.
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
- Love
- Humor
- Tension
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Curiosity
Dominant emotion: Humor
Dominant emotion: Love
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Love | Humor | Tension |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Curiosity | 45 % | 8 % | 23 % | 5 % |
| 7.5 % | ≈ 8′ | Humor | 49 % | 13 % | 34 % | 6 % |
| 12.5 % | ≈ 13′ | Humor | 48 % | 15 % | 41 % | 9 % |
| 17.5 % | ≈ 18′ | Humor | 46 % | 15 % | 45 % | 10 % |
| 22.5 % | ≈ 23′ | Humor | 48 % | 19 % | 44 % | 9 % |
| 27.5 % | ≈ 28′ | Curiosity | 50 % | 30 % | 43 % | 9 % |
| 32.5 % | ≈ 33′ | Humor | 57 % | 45 % | 50 % | 11 % |
| 37.5 % | ≈ 38′ | Love | 60 % | 51 % | 50 % | 16 % |
| 42.5 % | ≈ 43′ | Love | 54 % | 39 % | 40 % | 28 % |
| 47.5 % | ≈ 48′ | Curiosity | 50 % | 23 % | 33 % | 37 % |
| 52.5 % | ≈ 53′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 57.5 % | ≈ 58′ | Curiosity | 60 % | 18 % | 27 % | 28 % |
| 62.5 % | ≈ 63′ | Humor | 55 % | 25 % | 35 % | 25 % |
| 67.5 % | ≈ 68′ | Love | 53 % | 36 % | 33 % | 33 % |
| 72.5 % | ≈ 73′ | Tension | 54 % | 41 % | 31 % | 44 % |
| 77.5 % | ≈ 78′ | Love | 59 % | 43 % | 31 % | 51 % |
| 82.5 % | ≈ 83′ | Tension | 69 % | 39 % | 19 % | 64 % |
| 87.5 % | ≈ 88′ | Tension | 76 % | 39 % | 10 % | 60 % |
| 92.5 % | ≈ 93′ | Sadness | 75 % | 43 % | 12 % | 35 % |
| 97.5 % | ≈ 98′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
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 ↗
Kadri — your film companion
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Premise onlyAfterward 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
Hara
Hiroki
Rinri's father
Rinri's mother
Yoshi
Masa
Rika
Japanese student
Details
- Directed by
- Stefan Liberski
- Written by
- Amélie Nothomb, Stefan Liberski
- Type
- Movies
- Released
- 2014
- Runtime
- 100 min
- Country
- Belgium, France, Canada, Japan
- Ratings
- Feels mostly
- Love
- Data updated
Where to watch
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





