67,916 TMDB movie keywords mapped to NRC Emotion and VAD (Valence, Arousal, Dominance) scores. This lexicon includes phrase-level valence derived from SCL for sentiment analysis in cinematic contexts.
Use Cases
- Perform sentiment analysis on movie plot summaries by mapping keyword columns to emotional intensity scores
- Build a recommendation engine that filters films based on VAD (Valence, Arousal, Dominance) thresholds
- Analyze cinematic trends over time by correlating TMDB keywords with NRC emotion categories
- Train a classifier to predict movie genres using the phrase-level valence scores as features
Strengths
- 67,916 unique keywords sourced from The Movie Database (TMDB)
- Includes NRC Emotion Lexicon scores for mapping keywords to specific emotional categories
- Provides VAD (Valence, Arousal, Dominance) scores for fine-grained sentiment intensity
- Features phrase-level valence scores derived from SCL