feeldb

Say 'I Love You'

2014 · 102 min · Director: Asako Hyuga ★ IMDb 6.2 · 1,401 ratings

Show plot summary (may contain spoilers)

Mei (Haruna Kawaguchi), is a high-school student who is bullied often. She didn't think she needed friends until she met Yamato (Sota Fukushi), the most popular guy in school. They fall in love, much to the dismay of all of Yamato's friends.

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Emotional fingerprint

Say 'I Love You' (2014) — Movie. Top emotional signals: Love 35%, Empathy 25%, Sadness 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

35%Love
  1. Love35%
  2. 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 Love, Empathy, Sadness. Genres: Drama, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Love, Empathy and Sadness. Its IMDb rating of 6.2/10 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
  • Empathy
  • Relief

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Empathy

Dominant emotion: Relief

Dominant emotion: Tension

Dominant emotion: Love

Love
Empathy
Relief
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 rises around 13 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityLoveEmpathyRelief
2.5 %≈ 3′Empathy33 %8 %25 %5 %
7.5 %≈ 8′Relief44 %11 %33 %8 %
12.5 %≈ 13′Tension59 %19 %49 %16 %
17.5 %≈ 18′Relief65 %39 %50 %29 %
22.5 %≈ 23′Love60 %50 %38 %20 %
27.5 %≈ 28′Empathy53 %35 %40 %13 %
32.5 %≈ 33′Empathy54 %29 %49 %23 %
37.5 %≈ 38′Love60 %44 %53 %24 %
42.5 %≈ 43′Empathy63 %48 %57 %19 %
47.5 %≈ 48′Empathy60 %38 %57 %19 %
52.5 %≈ 54′Empathy55 %25 %53 %18 %
57.5 %≈ 59′Tension51 %14 %49 %20 %
62.5 %≈ 64′Relief51 %18 %48 %24 %
67.5 %≈ 69′Tension54 %33 %49 %16 %
72.5 %≈ 74′Empathy50 %35 %43 %13 %
77.5 %≈ 79′Love45 %24 %33 %13 %
82.5 %≈ 84′Tension51 %21 %41 %14 %
87.5 %≈ 89′Empathy63 %36 %56 %32 %
92.5 %≈ 94′Relief71 %59 %55 %55 %
97.5 %≈ 99′Love75 %72 %47 %60 %
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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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

HK
Haruna Kawaguchi

NA
Nanami Abe

TI
Tomohiro Ichikawa

Kai Takemura

RA
Rika Adachi

Aiko Muto

TN
Tasuku Nagase

Kenji Nakanishi

RN
Rima Nishizaki

Asami Oikawa

RY
Ryosuke Yamamoto

Masashi Tachikawa

AY
Alissa Yagi

Megumi Kitagawa

MK
Miyu Kawahara

1 year class B girl

TM
Tôko Miura

TY
Tôko Yano

Details

Directed by
Asako Hyuga
Written by
Asako Hyuga, Kanae Hazuki
Type
Movies
Released
2014
Runtime
102 min
Country
Japan
Genres
Drama, Romance
Ratings
★ IMDb 6.2 · 1,401 ratings
Feels mostly
Love
Data updated

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