Movie Keywords with Lexicon Sentiment Scores, 957K Rows

Approximately 957,000 rows of movie-keyword pairs, each associated with NRC and SCL lexicon sentiment scores. The data appears to be sourced from The Movie Database (TMDB) and is hosted on Kaggle. The last update date and specific licensing details are unknown.

Use Cases

• Train a movie genre classifier based on keyword sentiment profiles.
• Build a content-based movie recommender system using keyword and sentiment features.
• Analyze the emotional tone of movie plots or themes based on lexicon scores.
• Perform feature engineering for predictive models of movie success or audience reception.

Strengths

• Approximately 957,000 rows of movie-keyword associations.
• Includes multiple established lexicon scores (NRC and SCL) for each keyword.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is an approximate figure; exact size is unknown.
• Last update date is unknown; freshness unverified.

Provenance

Source

The Movie Database (TMDB), via Kaggle.

Collection Method

Likely extracted and processed from the TMDB API or public dataset.