feeldb

Spring

2014 · 110 min · Director: Justin Benson, Aaron Moorhead ★ IMDb 6.7 · 34,507 ratings

Show plot summary (may contain spoilers)

A young man in a personal tailspin flees from US to Italy, where he sparks up a romance with a woman harboring a dark, primordial secret.

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Emotional fingerprint

Spring (2014) — Movie. Top emotional signals: Love 30%, Awe 25%, Fear 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Love
25%Awe
20%Fear
  1. Love30%
  2. Awe25%
  3. Fear20%

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, Awe, Fear. Genres: Drama, Romance, Horror. AI estimate.

Is it worth watching?

Consider this title if you are looking for Love, Awe and Fear. Its IMDb rating of 6.7/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 69/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Love
  • Curiosity
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Sadness

Dominant emotion: Tension

Dominant emotion: Humor

Dominant emotion: Curiosity

Dominant emotion: Love

Love
Curiosity
Sadness
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 peaks around 3 %, then dips around 38 %, then peaks around 73 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityLoveCuriositySadness
2.5 %≈ 3′Sadness71 %33 %12 %63 %
7.5 %≈ 8′Tension60 %19 %19 %43 %
12.5 %≈ 14′Humor50 %13 %31 %21 %
17.5 %≈ 19′Humor47 %19 %39 %18 %
22.5 %≈ 25′Curiosity44 %24 %40 %18 %
27.5 %≈ 30′Humor44 %23 %41 %16 %
32.5 %≈ 36′Curiosity45 %19 %43 %20 %
37.5 %≈ 41′Curiosity44 %21 %41 %16 %
42.5 %≈ 47′Curiosity48 %30 %38 %21 %
47.5 %≈ 52′Sadness55 %39 %35 %35 %
52.5 %≈ 58′Love57 %45 %34 %24 %
57.5 %≈ 63′Love58 %43 %30 %19 %
62.5 %≈ 69′Sadness63 %40 %36 %39 %
67.5 %≈ 74′Love71 %41 %56 %46 %
72.5 %≈ 80′Curiosity73 %40 %64 %38 %
77.5 %≈ 85′Love66 %48 %51 %27 %
82.5 %≈ 91′Love61 %54 %45 %23 %
87.5 %≈ 96′Love66 %56 %46 %34 %
92.5 %≈ 102′Love70 %63 %35 %43 %
97.5 %≈ 107′Love68 %65 %22 %33 %
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 ↗

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

NH
Nadia Hilker

NH
Nadia Hilker

Louise

FC
Francesco Carnelutti

NN
Nick Nevern

Thomas

AD
Augie Duke

Jackie

JG
Jeremy Gardner

Tommy

VC
Vinny Curran

Mike

HH
Holly Hawkins

Nicole Russell

VB
Vanessa Bednar

Gail

SB
Shane Brady

Brad

KL
Kenzo Lee

Cop

CP
Chris Palko

Bancroft Dawson

JS
Jonathan Silvestri

Sam

Details

Written by
Justin Benson
Type
Movies
Released
2014
Runtime
110 min
Country
United States, Italy
Ratings
★ IMDb 6.7 · 34,507 ratings
Feels mostly
Love
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

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