Kedi
2016 · 79 min · Director: Ceyda Torun
Show plot summary (may contain spoilers)
In the city of Istanbul, there are more than just human inhabitants. There are also the stray domestic cats of the city who live free but have complicated relationships with the people themselves. This film follows a selection of individual cats as they live their own lives in Istanbul with their own distinctive personalities. However, with this vibrant population, is the reality of an ancient metropolis changing with the times that may have less of a place for them.
Emotional fingerprint
Kedi (2016) — Movie. Top emotional signals: Awe 30%, Love 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 Awe, Love, Smile. Genres: Documentary. AI estimate.
Is it worth watching?
Consider this title if you are looking for Awe, Love and Smile. Its IMDb rating of 7.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 73/100.
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
- Empathy
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Curiosity
Dominant emotion: Love
Dominant emotion: Empathy
Dominant emotion: Humor
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Love | Empathy | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Curiosity | 45 % | 37 % | 17 % | 3 % |
| 7.5 % | ≈ 6′ | Love | 51 % | 46 % | 26 % | 3 % |
| 12.5 % | ≈ 10′ | Love | 54 % | 53 % | 35 % | 3 % |
| 17.5 % | ≈ 14′ | Love | 51 % | 48 % | 41 % | 9 % |
| 22.5 % | ≈ 18′ | Empathy | 51 % | 40 % | 48 % | 20 % |
| 27.5 % | ≈ 22′ | Empathy | 53 % | 41 % | 44 % | 18 % |
| 32.5 % | ≈ 26′ | Love | 53 % | 43 % | 29 % | 5 % |
| 37.5 % | ≈ 30′ | Humor | 51 % | 34 % | 24 % | 9 % |
| 42.5 % | ≈ 34′ | Sadness | 49 % | 29 % | 35 % | 28 % |
| 47.5 % | ≈ 38′ | Sadness | 55 % | 34 % | 50 % | 46 % |
| 52.5 % | ≈ 41′ | Sadness | 63 % | 41 % | 57 % | 52 % |
| 57.5 % | ≈ 45′ | Love | 55 % | 44 % | 50 % | 36 % |
| 62.5 % | ≈ 49′ | Humor | 48 % | 39 % | 36 % | 15 % |
| 67.5 % | ≈ 53′ | Humor | 49 % | 35 % | 33 % | 11 % |
| 72.5 % | ≈ 57′ | Empathy | 54 % | 42 % | 45 % | 20 % |
| 77.5 % | ≈ 61′ | Love | 55 % | 51 % | 50 % | 20 % |
| 82.5 % | ≈ 65′ | Love | 48 % | 46 % | 40 % | 15 % |
| 87.5 % | ≈ 69′ | Love | 48 % | 45 % | 38 % | 16 % |
| 92.5 % | ≈ 73′ | Love | 53 % | 51 % | 36 % | 13 % |
| 97.5 % | ≈ 77′ | Love | 50 % | 50 % | 30 % | 5 % |
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 ↗
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
Self
Details
- Directed by
- Ceyda Torun
- Type
- Movies
- Released
- 2016
- Runtime
- 79 min
- Country
- Turkey, United States
- Genres
- Documentary
- Ratings
- Feels mostly
- Awe
- Data updated
Where to watch
Rent
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
