TMDB Movie Emotion and Psychological Attribute Scores

1.24 million movie entries from The Movie Database (TMDB) are annotated with psychological attribute scores. The dataset applies the NRC VAD lexicon and emotion intensity metrics to film content, excluding adult titles. The original data source is TMDB, with lexical scoring performed by the NRC VAD v2.1 methodology.

Use Cases

• Predict movie genre or audience rating based on its VAD (Valence, Arousal, Dominance) scores.
• Cluster films into emotional archetypes using the provided emotion intensity features (e.g., joy, anger, fear).
• Train a classifier to identify film content warnings from high-intensity scores for specific negative emotions.
• Analyze trends in the dominance or arousal scores of movie titles over time or by production country.
• Build a content-based recommender system that suggests films with similar emotional and psychological attribute profiles.

Strengths

• 1.24 million movie entries provide a large sample for analysis.
• Applies a standardized psychological lexicon (NRC VAD v2.1) for consistent scoring.

Limitations

• Specific row counts, column details, and data completeness for individual movies are unknown.
• The exclusion of adult content may introduce a bias in the emotional score distribution across all film genres.
• The temporal range of the covered movies and the recency of the scoring are not specified.

Provenance

Source

The Movie Database (TMDB), with lexical analysis from the NRC VAD lexicon.

Collection Method

Automated scoring of movie content using the NRC VAD v2.1 and emotion intensity lexicons.