Daytime Shooting Star
2017 · 119 min · Director: Takehiko Shinjô
Show plot summary (may contain spoilers)
Suzume Yosano's parents have decided to move to Bangladesh when her father's job gets transferred there. However, they're not taking her with them. So, Suzume moves to Tokyo to live with her uncle, Yukichi. On her way to moving into her uncle's house, she runs into a strange man who helps her since she is initially lost. When she starts school, it turns out that he is none other than her homeroom teacher, Satsuki Shishio. Between him and making new friends, Suzume's first year of high school in Tokyo will be full of fun and adventure.
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Emotional fingerprint
Daytime Shooting Star (2017) — Movie. Top emotional signals: Love 35%, Humor 20%, Sadness 15%. 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, Sadness. Genres: Romance, Family. AI estimate.
Is it worth watching?
Consider this title if you are looking for Love, Humor and Sadness. Its IMDb rating of 6.7/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 65/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Love
- Hope
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Hope
Dominant emotion: Tension
Dominant emotion: Love
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Love | Hope | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Humor | 37 % | 12 % | 20 % | 17 % |
| 7.5 % | ≈ 9′ | Humor | 39 % | 15 % | 28 % | 13 % |
| 12.5 % | ≈ 15′ | Hope | 46 % | 20 % | 31 % | 10 % |
| 17.5 % | ≈ 21′ | Tension | 55 % | 26 % | 29 % | 13 % |
| 22.5 % | ≈ 27′ | Love | 54 % | 31 % | 31 % | 16 % |
| 27.5 % | ≈ 33′ | Humor | 53 % | 39 % | 40 % | 13 % |
| 32.5 % | ≈ 39′ | Love | 55 % | 48 % | 41 % | 14 % |
| 37.5 % | ≈ 45′ | Love | 54 % | 49 % | 35 % | 24 % |
| 42.5 % | ≈ 51′ | Love | 59 % | 48 % | 29 % | 35 % |
| 47.5 % | ≈ 57′ | Sadness | 70 % | 41 % | 21 % | 57 % |
| 52.5 % | ≈ 62′ | Sadness | 70 % | 31 % | 28 % | 66 % |
| 57.5 % | ≈ 68′ | Hope | 60 % | 30 % | 45 % | 46 % |
| 62.5 % | ≈ 74′ | Hope | 60 % | 45 % | 56 % | 26 % |
| 67.5 % | ≈ 80′ | Love | 69 % | 65 % | 60 % | 25 % |
| 72.5 % | ≈ 86′ | Love | 68 % | 68 % | 54 % | 26 % |
| 77.5 % | ≈ 92′ | Love | 64 % | 54 % | 38 % | 25 % |
| 82.5 % | ≈ 98′ | Tension | 71 % | 48 % | 26 % | 44 % |
| 87.5 % | ≈ 104′ | Sadness | 80 % | 63 % | 39 % | 56 % |
| 92.5 % | ≈ 110′ | Love | 76 % | 73 % | 54 % | 41 % |
| 97.5 % | ≈ 116′ | Love | 65 % | 65 % | 50 % | 28 % |
Man in a hole
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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Cast
Inukai Manabu
Details
- Directed by
- Takehiko Shinjô
- Written by
- Mika Yamamori, Naoko Adachi
- Type
- Movies
- Released
- 2017
- Runtime
- 119 min
- Country
- Japan
- Ratings
- Feels mostly
- Love
- Data updated
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





