Tokyo Tribe
2014 · 116 min · Director: Sion Sono
Show plot summary (may contain spoilers)
In an alternate Japan, territorial street gangs form opposing factions collectively known as the Tokyo Tribes. Merra, leader of the Wu-Ronz tribe of Bukuro joins forces with heavy hitting sadistic gangster Buppa of Buppa Town. With Buppa's support, Merra aims to initiate a gang war between the Wu-Ronz and the Musashino Saru, and in a confrontation between the two attempts to kill popular member of the Musashino Saru - Kai. By mistake, Merra instead kills Kai's friend Tera (a Musashino Saru member beloved by members of all Tribes since before their formation). This leads to the joining of forces between all of the Tokyo Tribes in an all out war against Merra and Buppa's forces.
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Emotional fingerprint
Tokyo Tribe (2014) — Movie. Top emotional signals: Excitement 40%, Humor 20%, Tension 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Excitement40%
- Humor20%
- Tension20%
- Surprise10%
- Love10%
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 Excitement, Humor, Tension. Genres: Musical, Fantasy, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Excitement, Humor and Tension. 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?
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Pick up to three · 0/3
Emotional journey
- Tension
- Disturbing
- Excitement
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Disturbing
Dominant emotion: Excitement
Dominant emotion: Humor
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Disturbing | Excitement |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Tension | 48 % | 40 % | 33 % | 22 % |
| 7.5 % | ≈ 9′ | Disturbing | 50 % | 35 % | 35 % | 26 % |
| 12.5 % | ≈ 15′ | Excitement | 50 % | 33 % | 30 % | 29 % |
| 17.5 % | ≈ 20′ | Tension | 59 % | 44 % | 44 % | 21 % |
| 22.5 % | ≈ 26′ | Disturbing | 75 % | 55 % | 71 % | 13 % |
| 27.5 % | ≈ 32′ | Disturbing | 83 % | 60 % | 81 % | 14 % |
| 32.5 % | ≈ 38′ | Disturbing | 75 % | 56 % | 70 % | 19 % |
| 37.5 % | ≈ 44′ | Disturbing | 65 % | 50 % | 56 % | 21 % |
| 42.5 % | ≈ 49′ | Tension | 69 % | 61 % | 54 % | 34 % |
| 47.5 % | ≈ 55′ | Tension | 70 % | 64 % | 50 % | 40 % |
| 52.5 % | ≈ 61′ | Humor | 65 % | 55 % | 45 % | 35 % |
| 57.5 % | ≈ 67′ | Tension | 73 % | 68 % | 46 % | 49 % |
| 62.5 % | ≈ 73′ | Tension | 74 % | 70 % | 44 % | 56 % |
| 67.5 % | ≈ 78′ | Humor | 66 % | 56 % | 36 % | 45 % |
| 72.5 % | ≈ 84′ | Sadness | 70 % | 60 % | 32 % | 46 % |
| 77.5 % | ≈ 90′ | Tension | 76 % | 70 % | 35 % | 59 % |
| 82.5 % | ≈ 96′ | Excitement | 75 % | 68 % | 32 % | 65 % |
| 87.5 % | ≈ 102′ | Excitement | 71 % | 56 % | 25 % | 57 % |
| 92.5 % | ≈ 107′ | Humor | 70 % | 39 % | 20 % | 41 % |
| 97.5 % | ≈ 113′ | Humor | 68 % | 20 % | 13 % | 30 % |
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
Kai
Kim
Jadakins
Skunk
Yon
Rookie Police Officer
Veteran Police Officer
Mai
Usagi
Details
Where to watch
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