Glossary/Analysis
ANALYSIS

Emotional Profile

DEFINITION

The dominant emotional character of a track across 31 mood dimensions, mapped onto the Circumplex Model of Affect.

The Emotional Profile is SongScore's characterisation of a track's emotional identity across 31 distinct mood dimensions. It maps each track onto the Circumplex Model of Affect — a two-dimensional emotional space where valence (positive-to-negative) and arousal (activating-to-calming) form the axes, and specific moods occupy regions within that space.

The Emotional Profile is presented as a ranked list of the top nine mood dimensions with their 0-to-1 scores. A track's emotional clarity — how strongly one or two moods dominate versus a diffuse profile across many moods — is a key insight. Emotionally clear tracks (one or two dominant moods above 0.7) tend to perform better on TikTok and in editorial playlists. Emotionally complex tracks (many moods between 0.4 and 0.6) may be more interesting artistically but are harder for algorithms and curators to categorise.

The Emotional Profile feeds directly into the Analysis Report's narrative description of the track's emotional identity and drives the Playlist Match feature's mood-based matching. It also informs platform strategy: TikTok rewards emotional clarity, Apple Music editorial teams respond to nuanced emotional complexity, and Spotify's algorithm uses emotional stability as a signal for listener retention prediction.

RELATED TERMS

Mood Analysis
SongScore's detection and scoring of 31 emotional mood dimensions present in a track, from Happy and Energetic to Melancholic and Dark.
Sonic DNA
SongScore's proprietary six-dimension acoustic fingerprint radar: Energy, Valence, Arousal, Danceability, Acousticness, and Instrumentalness.
Character Profile
Textural and sonic descriptors that capture the physical character of a track — how it sounds rather than how it feels.
Movement Profile
The structural and dynamic characterisation of how a track progresses, builds, and releases energy over time.

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