feeldb

Scusa ma ti chiamo amore

2008 · 105 min · Director: Federico Moccia ★ IMDb 6.1 · 5,771 ratings

Show plot summary (may contain spoilers)

Mayhem ensues when a 37-year-old ad executive on the rebound falls for a bubbly high school senior.

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Emotional fingerprint

Scusa ma ti chiamo amore (2008) — Movie. Top emotional signals: Love 35%, Humor 25%, Happiness 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

35%Love
25%Humor
  1. Love35%
  2. Humor25%

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, Humor, Happiness. Genres: Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Love, Humor and Happiness. Its IMDb rating of 6.1/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 64/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Love
  • Hope
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Sadness

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Love

Dominant emotion: Hope

Love
Hope
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 dips around 28 %, then rises around 38 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityLoveHopeSadness
2.5 %≈ 3′Sadness55 %18 %10 %45 %
7.5 %≈ 8′Humor50 %10 %9 %24 %
12.5 %≈ 13′Tension46 %9 %13 %9 %
17.5 %≈ 18′Humor41 %16 %20 %10 %
22.5 %≈ 24′Humor38 %20 %18 %16 %
27.5 %≈ 29′Humor38 %20 %13 %19 %
32.5 %≈ 34′Humor38 %20 %16 %14 %
37.5 %≈ 39′Humor46 %33 %25 %9 %
42.5 %≈ 45′Love56 %50 %30 %8 %
47.5 %≈ 50′Love51 %44 %24 %8 %
52.5 %≈ 55′Humor45 %28 %14 %11 %
57.5 %≈ 60′Humor45 %26 %13 %19 %
62.5 %≈ 66′Love45 %35 %21 %19 %
67.5 %≈ 71′Love51 %39 %30 %25 %
72.5 %≈ 76′Sadness63 %38 %27 %48 %
77.5 %≈ 81′Sadness61 %31 %18 %55 %
82.5 %≈ 87′Sadness50 %21 %19 %44 %
87.5 %≈ 92′Hope46 %20 %34 %33 %
92.5 %≈ 97′Hope56 %35 %48 %20 %
97.5 %≈ 102′Love70 %57 %55 %10 %
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

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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

Raoul Bova

Alessandro 'Alex' Belli

FF
Francesca Ferrazzo

BV
Beatrice Valente

Olly

MC
Michelle Carpente

Diletta

FA
Francesco Apolloni

Pietro

LA
Luca Angeletti

Enrico

IO
Ignazio Oliva

Flavio

MM
Mara Mais

Camilla

RI
Rossella Infanti

Cristina

VL
Veronica Logan

Elena

DR
Davide Rossi

Fabio

MR
Maria Rita Fenzato

PQ
Pino Quartullo

Roberto Cavalli

CD
Cecilia Dazzi

Simona

GM
Gisella Marengo

Margherita

IS
Ilaria Spada

Alessia

CL
Cristiano Lucarelli

RS
Riccardo Sardonè

Marcello Santi

Details

Directed by
Federico Moccia
Written by
Federico Moccia, Luca Infascelli, Chiara Barzini, Chiara Barzini
Type
Movies
Released
2008
Runtime
105 min
Country
Italy
Genres
Romance
Ratings
★ IMDb 6.1 · 5,771 ratings
Feels mostly
Love
Data updated

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