My Tomorrow, Your Yesterday
2016 · 111 min · Director: Takahiro Miki
Show plot summary (may contain spoilers)
Takatoshi Minamiyama majors in art at an university in Kyoto. On the train to the school, he sees Emi Fukuju and falls in love with her at first sight. Gathering up all his courage, he speaks to her. They begin to date and enjoy happy days together, but Emi reveals her secret to him.
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Emotional fingerprint
My Tomorrow, Your Yesterday (2016) — Movie. Top emotional signals: Love 35%, Sadness 25%, Empathy 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Love35%
- Sadness25%
- Empathy15%
- Melancholy15%
- Surprise10%
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, Sadness, Empathy. Genres: Drama, Romance, Fantasy. AI estimate.
Is it worth watching?
Consider this title if you are looking for Love, Sadness and Empathy. Its IMDb rating of 7.4/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 71/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Love
- Sadness
- Empathy
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Love
Dominant emotion: Joy
Dominant emotion: Curiosity
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Love | Sadness | Empathy |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Love | 45 % | 43 % | 7 % | 22 % |
| 7.5 % | ≈ 8′ | Love | 45 % | 41 % | 10 % | 23 % |
| 12.5 % | ≈ 14′ | Joy | 49 % | 45 % | 5 % | 23 % |
| 17.5 % | ≈ 19′ | Love | 53 % | 51 % | 3 % | 23 % |
| 22.5 % | ≈ 25′ | Love | 53 % | 53 % | 5 % | 23 % |
| 27.5 % | ≈ 31′ | Love | 56 % | 56 % | 3 % | 23 % |
| 32.5 % | ≈ 36′ | Love | 64 % | 50 % | 3 % | 23 % |
| 37.5 % | ≈ 42′ | Curiosity | 71 % | 30 % | 9 % | 24 % |
| 42.5 % | ≈ 47′ | Curiosity | 74 % | 26 % | 21 % | 29 % |
| 47.5 % | ≈ 53′ | Curiosity | 70 % | 35 % | 41 % | 39 % |
| 52.5 % | ≈ 58′ | Sadness | 71 % | 40 % | 61 % | 55 % |
| 57.5 % | ≈ 64′ | Sadness | 80 % | 55 % | 74 % | 74 % |
| 62.5 % | ≈ 69′ | Love | 83 % | 71 % | 70 % | 76 % |
| 67.5 % | ≈ 75′ | Love | 75 % | 71 % | 48 % | 59 % |
| 72.5 % | ≈ 80′ | Love | 73 % | 66 % | 41 % | 54 % |
| 77.5 % | ≈ 86′ | Sadness | 81 % | 70 % | 68 % | 71 % |
| 82.5 % | ≈ 92′ | Love | 88 % | 80 % | 83 % | 81 % |
| 87.5 % | ≈ 97′ | Love | 85 % | 83 % | 78 % | 75 % |
| 92.5 % | ≈ 103′ | Love | 82 % | 78 % | 75 % | 68 % |
| 97.5 % | ≈ 108′ | 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 ↗
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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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Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Details
- Directed by
- Takahiro Miki
- Written by
- Tomoko Yoshida, Takafumi Nanatsuki
- Type
- Movies
- Released
- 2016
- Runtime
- 111 min
- Country
- Japan
- Ratings
- Feels mostly
- Love
- Data updated
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





