Top Rated Global Movie Dataset

Top Rated Global Movie Dataset

Datasets

Top Rated Global Movie Dataset

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Top Rated Global Movie Dataset

Use Case

Top Rated Global Movie Dataset

Description

Explore our comprehensive Top Rated Global Movie Dataset, sourced from TMDb, featuring detailed movie metadata, genres, languages.

Description:

This dataset presents a comprehensive collection of information about movies from various countries and languages up to August 2024. It is sourced from TMDb (The Movie Database), known for its reliable and up-to-date movie data. Here’s a detailed breakdown:

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Dataset Overview:

  • Movie Titles and Descriptions: Detailed titles, overviews, and plot descriptions for thousands of movies.
  • Genres and Release Dates: Includes multiple genres (action, drama, thriller, etc.) and movies spanning different decades, offering insights into both classic and contemporary films.
  • Popularity Metrics and Votes: The dataset includes popularity scores, user ratings, and vote counts, making it useful for analyzing audience preferences and trends.
  • Languages and Regions: Movies from various countries and regions, with data supporting multilingual analysis, highlighting trends in non-English films and regional cinema.

Applications:

  • Movie Recommendation Systems: By leveraging metadata and user ratings, this dataset can help build machine learning models that recommend films based on preferences, genre, and ratings.
  • Analysis of Genre Popularity: Researchers can analyze how specific genres have evolved over time and which ones perform better in different parts of the world.
  • Global Film Market Insights: Allows exploration of the global movie industry, analyzing trends based on release years, language preferences, and regional popularity.

Additional Features:

  • Metadata for Cast and Crew: Includes detailed information about directors, producers, and actors, making it a valuable asset for analyzing professional networks within the film industry.
  • Correlations Between Popularity and Votes: The dataset can be used to study the relationship between how popular a movie is and its user ratings or votes.

Potential Use Cases:

  • Sentiment Analysis: This data is a great resource for sentiment analysis, enabling models to understand how different factors, like language or genre, impact movie ratings.
  • Cultural Impact Studies: Explore how cultural and linguistic factors shape movie trends and preferences across different regions.

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