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Movie Critic Sentiment Dataset
Entertainment & Media Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains a collection of movie review data primarily sourced from critics. It provides rich context and sentiment analysis for various film critiques, making it invaluable for understanding public and critical reception of movies. The information includes review details, critic information, publication sources, and sentiment scores, offering insights into film criticism over time. It can be used for research and development related to Natural Language Processing. The Tomatometer score, derived from critic opinions, offers a trusted measurement of critical recommendation. This is a free dataset library.
Columns
- creationDate: The date on which the movie review was created.
- criticName: The name of the critic who wrote the review.
- criticPageUrl: A URL leading to the critic's profile or page.
- reviewState: The classification of the review, indicating whether it is 'fresh' or 'rotten'.
- isFresh: A boolean indicator specifying if the review is classified as 'fresh'.
- isRotten: A boolean indicator specifying if the review is classified as 'rotten'.
- isRtUrl: A boolean indicator for whether the review URL belongs to Rotten Tomatoes.
- isTopCritic: A boolean indicator noting if the critic is considered a top-tier critic.
- publicationUrl: The URL of the publication where the review was published.
- publicationName: The name of the publication (e.g., Entertainment Weekly, Chicago Sun-Times).
- reviewUrl: The direct URL to the specific movie review.
- quote: An excerpt or the full text of the review.
- reviewId: A unique identifier assigned to each individual review.
- scoreSentiment: The overall sentiment of the review, categorised as 'POSITIVE' or 'NEGATIVE'.
- originalScore: The raw score or grade given by the critic (e.g., 'C-', '4-Mar', '1.5/4').
- movieId: A unique identifier for the movie being reviewed.
Distribution
The dataset is typically provided in a tabular format, such as CSV files. Specific numbers for rows or records are not available within the provided information.
Usage
This dataset is ideal for:
- Developing and testing sentiment analysis models for text data.
- Training Natural Language Processing (NLP) algorithms.
- Conducting research on film criticism trends and the evolution of movie reviews.
- Analysing critic performance and influence over time.
- Understanding the factors contributing to a movie's critical reception.
Coverage
The dataset primarily covers movie reviews from various critics globally, spanning a time range from at least January 1991 to January 2000, based on the provided sample data. The geographic scope is global, reflecting a wide array of publications and critics. No specific notes on data availability for particular groups or years beyond the observed sample range are provided.
License
CC-BY-NC
Who Can Use It
- Data scientists and machine learning engineers: For building and refining sentiment analysis and NLP models.
- Researchers: In fields such as media studies, cultural studies, and computational linguistics to analyse film criticism.
- Students: For academic projects focusing on data analysis, text mining, or movie industry insights.
- Film industry analysts: To gauge critical reception and sentiment for market research purposes.
Dataset Name Suggestions
- Movie Critic Sentiment Dataset
- Rotten Tomatoes Review Analysis
- Film Review Opinion Data
- Global Movie Critics' Sentiments
- Cinematic Review Sentiment Archive
Attributes
Original Data Source: [🍅Rotten Tomatoes]Best DOGGO🐶 Movies Of All Time
QUALITY