feeldb

Unleashed

2016 · 96 min · Director: Finn Taylor ★ IMDb 6.4 · 1,977 ratings

Show plot summary (may contain spoilers)

When a cosmic event turns Emma's dog and cat into two perfect guys, Emma reconsiders her outlook on dating, hilariously works out her trust issues, and ultimately learns to love herself.

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Emotional fingerprint

Unleashed (2016) — Movie. Top emotional signals: Humor 30%, Love 24%, Smile 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Humor
24%Love
20%Smile
  1. Humor30%
  2. Love24%
  3. Smile20%
  4. Hope10%

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 Humor, Love, Smile. Genres: Comedy, Romance, Fantasy. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Love and Smile. Its IMDb rating of 6.4/10 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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Emotional journey

AI · from subtitles
  • Humor
  • Love
  • Joy

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Joy

Dominant emotion: Sadness

Dominant emotion: Humor

Dominant emotion: Love

Humor
Love
Joy
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 18 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorLoveJoy
2.5 %≈ 2′Joy38 %23 %23 %20 %
7.5 %≈ 7′Sadness46 %34 %23 %15 %
12.5 %≈ 12′Humor57 %51 %20 %14 %
17.5 %≈ 17′Humor63 %61 %14 %16 %
22.5 %≈ 22′Humor58 %58 %14 %19 %
27.5 %≈ 26′Humor50 %49 %21 %19 %
32.5 %≈ 31′Humor50 %46 %28 %20 %
37.5 %≈ 36′Humor54 %45 %36 %26 %
42.5 %≈ 41′Love56 %45 %43 %30 %
47.5 %≈ 46′Humor57 %51 %36 %27 %
52.5 %≈ 50′Humor56 %54 %29 %23 %
57.5 %≈ 55′Humor54 %51 %26 %21 %
62.5 %≈ 60′Humor51 %45 %24 %19 %
67.5 %≈ 65′Sadness50 %38 %29 %15 %
72.5 %≈ 70′Love53 %39 %36 %23 %
77.5 %≈ 74′Humor55 %44 %35 %29 %
82.5 %≈ 79′Humor56 %48 %30 %26 %
87.5 %≈ 84′Humor61 %45 %31 %34 %
92.5 %≈ 89′Joy56 %25 %35 %41 %
97.5 %≈ 94′Joy42 %7 %30 %35 %
Cinderella

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

AI

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Afterward 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

Justin Chatwin

Ajax / Diego

HM
Hana Mae Lee

Nina

MS
Mark Strano

Kyle

JT
John Terrell

Hipster on Bike

DR
Don Reed

Allen

SC
Scott Coffey

Leather Dude

JK
Jeremy Kahn

Todd

KG
Kathy Garver

Jean

JL
Joshua Lomeli

Diego on TV

SJ
Samantha Jackson

Female Assistant

DA
Diane Amos

Waitress

AL
Andrew Laing

Dan the Orderly

GB
Gina Beretta

Lilly

JR
Jennifer Rosen

Denise

MH
Mario Herrera

Kid at Restaurant

Details

Directed by
Finn Taylor
Written by
Finn Taylor
Type
Movies
Released
2016
Runtime
96 min
Country
United States
Ratings
★ IMDb 6.4 · 1,977 ratings
Feels mostly
Humor
Data updated

Where to watch

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.