feeldb

The Moment You Fall in Love

2016 · 63 min · Director: Tetsuya Yanagisawa ★ IMDb 6.1 · 722 ratings

Show plot summary (may contain spoilers)

Based on Vocaloid songs from "Kokuhaku Jikko Iinkai ~Renai Series~" by HoneyWorks, the movie is the second film based on the songs, following Tetsuya Yanagisawa's previous anime, "Zutto Mae Kara Suki Deshita".

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Emotional fingerprint

The Moment You Fall in Love (2016) — Movie. Top emotional signals: Love 35%, Anxiety 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%

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, Anxiety, Sadness. Genres: Comedy, Drama, Animation. AI estimate.

Is it worth watching?

Consider this title if you are looking for Love, Anxiety and Sadness. Its IMDb rating of 6.1/10 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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Pick up to three · 0/3

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Emotional journey

AI · from subtitles
  • Love
  • Sadness
  • Hope

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Love

Dominant emotion: Sadness

Dominant emotion: Hope

Love
Sadness
Hope
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 8 %, then rises around 73 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityLoveSadnessHope
2.5 %≈ 2′Humor52 %33 %2 %28 %
7.5 %≈ 5′Love49 %34 %5 %26 %
12.5 %≈ 8′Humor53 %39 %18 %20 %
17.5 %≈ 11′Love57 %48 %36 %25 %
22.5 %≈ 14′Sadness55 %45 %40 %39 %
27.5 %≈ 17′Hope53 %39 %24 %40 %
32.5 %≈ 20′Humor50 %35 %10 %33 %
37.5 %≈ 24′Hope50 %36 %20 %30 %
42.5 %≈ 27′Sadness55 %43 %30 %24 %
47.5 %≈ 30′Humor56 %44 %21 %19 %
52.5 %≈ 33′Humor56 %46 %20 %28 %
57.5 %≈ 36′Love56 %51 %20 %36 %
62.5 %≈ 39′Love53 %46 %19 %31 %
67.5 %≈ 43′Sadness54 %44 %34 %28 %
72.5 %≈ 46′Love63 %55 %49 %33 %
77.5 %≈ 49′Love71 %63 %59 %29 %
82.5 %≈ 52′Sadness73 %59 %64 %26 %
87.5 %≈ 55′Love65 %55 %54 %34 %
92.5 %≈ 58′Love61 %57 %34 %39 %
97.5 %≈ 61′Love63 %60 %17 %43 %
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

TY
Tsubasa Yonaga

Ayase Koyuki (voice)

Natsuki Hanae

Enomoto Kotarou (voice)

KA
Kana Asumi

MA
Momo Asakura

Setoguchi Hina (voice)

Aki Toyosaki

Aida Miou (voice)

Haruka Tomatsu

Enomoto Natsuki (voice)

KA
Kana Asumi

Hayasaka Akari (voice)

Yuki Kaji

Mochizuki Souta (voice)

Kenichi Suzumura

Serizawa Haruki (voice)

Hiroshi Kamiya

Yuu Setoguchi (voice)

Yoshimasa Hosoya

Shibasaki Ken (voice)

Nao Tôyama

Takamizawa Arisa (voice)

Hikaru Midorikawa

Saku Akechi (voice)

Details

Directed by
Tetsuya Yanagisawa
Written by
HoneyWorks, Yoshimi Narita
Type
Animation
Released
2016
Runtime
63 min
Country
Japan
Ratings
★ IMDb 6.1 · 722 ratings
Feels mostly
Love
Data updated

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