feeldb

Paper Heart

2009 · 88 min · Director: Nicholas Jasenovec ★ IMDb 6 · 8,827 ratings

Show plot summary (may contain spoilers)

Charlyne Yi embarks on a quest across America to make a documentary about the one subject she doesn't fully understand: Love. Michael Cera becomes the object of her affection. Weaving together reality and fantasy, Paper Heart combines elements of documentary and traditional storytelling to get at modern romance.

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Emotional fingerprint

Paper Heart (2009) — Movie. Top emotional signals: Humor 30%, Love 25%, Curiosity 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Humor
25%Love
  1. Humor30%
  2. Love25%

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, Curiosity. Genres: Comedy, Drama, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Love and Curiosity. Its IMDb rating of 6.0/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 62/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Love
  • Humor
  • Curiosity

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Humor

Dominant emotion: Love

Dominant emotion: Tension

Dominant emotion: Sadness

Love
Humor
Curiosity
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 28 %, then peaks around 88 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityLoveHumorCuriosity
2.5 %≈ 2′Curiosity49 %20 %37 %48 %
7.5 %≈ 7′Curiosity49 %26 %30 %49 %
12.5 %≈ 11′Curiosity49 %25 %27 %49 %
17.5 %≈ 15′Humor49 %29 %39 %40 %
22.5 %≈ 20′Humor49 %35 %44 %30 %
27.5 %≈ 24′Humor46 %34 %39 %31 %
32.5 %≈ 29′Love47 %41 %32 %34 %
37.5 %≈ 33′Love50 %41 %34 %31 %
42.5 %≈ 37′Humor49 %32 %43 %29 %
47.5 %≈ 42′Humor49 %37 %43 %30 %
52.5 %≈ 46′Love51 %44 %38 %30 %
57.5 %≈ 51′Humor53 %46 %38 %30 %
62.5 %≈ 55′Love58 %54 %36 %29 %
67.5 %≈ 59′Love61 %56 %41 %25 %
72.5 %≈ 64′Humor59 %41 %41 %27 %
77.5 %≈ 68′Tension56 %26 %27 %29 %
82.5 %≈ 73′Sadness60 %26 %17 %25 %
87.5 %≈ 77′Sadness63 %33 %18 %28 %
92.5 %≈ 81′Humor61 %40 %38 %29 %
97.5 %≈ 86′Humor62 %45 %57 %21 %
Riches to rags

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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Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

CY
Charlyne Yi

Lo Mutuc

Charlyne Yi

DM
Demetri Martin

Demetri Martin

GS
Given Sharp

Given Sharp

Martin Starr

Martin Starr

GS
Gill Summers

Gill Summers

Seth Rogen

Seth Rogen

DW
Derek Waters

Derek Waters

MB
Matthew Bass

Matthew Bass

BP
Brendan Paul

Brendan Paul

DC
David Chandler

David Chandler

Details

Directed by
Nicholas Jasenovec
Written by
Nicholas Jasenovec, Charlyne Yi, Lo Mutuc
Type
Movies
Released
2009
Runtime
88 min
Country
United States
Ratings
★ IMDb 6 · 8,827 ratings
Feels mostly
Humor
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.