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IMDB Top 10 TV Series User Reviews
Product Reviews & Feedback
Tags and Keywords
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"No reviews yet"
Free
About
Gathers detailed IMDB User Reviews collected for the top 10 highest-rated television series available up to the end of 2023. This material offers essential context for sentiment analysis and understanding audience feedback on critically acclaimed shows, including titles like Game of Thrones, Fargo, The Crown, and Reacher.
Columns
- Title: This is the specific title assigned by the user to their review.
- Review: The actual text content written by the user, suitable for textual analysis.
- Rating: The numerical score provided by the user for the series, typically ranging from 1 to 10.
- Date: The timestamp indicating when the specific rating and review were submitted.
Distribution
The material is structured across 10 separate data files, with each file dedicated to one specific TV series (e.g., Berlin). The data files are generally provided in a Comma Separated Values (CSV) format. A sample file detailing the structure will be updated separately to the platform.
Usage
This dataset is excellent for conducting Exploratory Data Analysis (EDA) on user engagement and feedback. It is suitable for performing sentiment analysis and natural language processing (NLP) tasks on textual user feedback, and for analysing rating distributions and trends across highly popular television titles.
Coverage
The dataset covers reviews for 10 specific, top-rated IMDB television series, including Slow Horses, Doctor Who, and What If…?. The review collection period spans data gathered up to the end of 2023, with specific review dates observed ranging from December 2023 through early January 2024.
License
CC BY-NC-SA 4.0
Who Can Use It
- Media Analysts: Individuals studying audience reception and critical success factors for premium streaming content.
- Data Scientists: Professionals building predictive models based on user-generated text and rating correlation.
- Academic Researchers: Those engaging in studies related to popular culture, media consumption, and computational social science.
Dataset Name Suggestions
- IMDB Top 10 TV Series User Reviews
- High-Rated TV Show Feedback Archive
- Global TV Series Sentiment Data
- Top TV Shows 2023 Review Dataset
Attributes
Original Data Source: IMDB Top 10 TV Series User Reviews
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