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IMDB Oppenheimer Reviews Dataset
Product Reviews & Feedback
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Trusted By
"No reviews yet"
Free
About
Explore public sentiment regarding the Oppenheimer film through this dataset of IMDB reviews. It offers insights into audience opinions and critical reception, gathered directly from the IMDB website. The data was collected using a Python module called Scrapset, ensuring a structured approach to review extraction.
Columns
The dataset includes two key columns for analysis:
- text: This column contains the full review text submitted by users. It features 2,036 unique review texts and is fully validated with 84,000 entries, demonstrating no missing or mismatched values. An example review text highlights the film's cinematography and visual impact.
- rating: This column presents the numerical rating given by users, scaled from 1 to 10. Analysis shows that 50% of reviews assigned a rating of 1, while 18% gave a rating of 9. There are 21 unique rating values, with no missing or mismatched data across 84,000 entries.
Distribution
The dataset is provided in CSV format and consists of two files: an uncleaned version and a cleaned version. The cleaned version, specifically "Oppenhimer_Cleaned_Reviews.csv", is 106.21 MB in size. It contains 84,000 records across two columns. The ratings are scaled on a 10-point system.
Usage
This dataset is ideal for:
- Conducting sentiment analysis to gauge public opinion on the movie.
- Performing natural language processing (NLP) tasks on movie reviews.
- Studying review patterns and rating distributions for film analysis.
- Academic research into audience reception of major cinematic releases.
- Developing predictive models for movie success based on early reviews.
Coverage
The dataset focuses on user reviews for the Oppenheimer movie, reflecting opinions and ratings from IMDB users. It does not specify geographic or demographic filters, providing a broad overview of the global audience's reception as represented on the platform. The data represents a snapshot of reviews available at the time of scraping, without a specific time range for the reviews themselves, though the expected update frequency is annual.
License
CC0: Public Domain
Who Can Use It
- Data scientists and analysts: For sentiment analysis, text mining, and data visualisation projects.
- Film critics and researchers: To understand audience sentiment and review trends for Oppenheimer.
- Students: As a practical resource for learning NLP techniques and data analysis on real-world text data.
- Market researchers: To assess public reception and inform marketing strategies for similar film projects.
Dataset Name Suggestions
- Oppenheimer IMDB Sentiment
- Movie Review Analysis: Oppenheimer
- IMDB Oppenheimer Reviews Dataset
- Oppenheimer Audience Feedback
- Scraped Oppenheimer Film Reviews
Attributes
Original Data Source: IMDB Oppenheimer Reviews Dataset
QUALITY