CSM Dataset aggregates movie reviews from both conventional media outlets and social media platforms for the years 2014 and 2015. It originates from the UCI Machine Learning Repository and is tagged for media studies and sentiment analysis. The dataset facilitates comparative analysis of review discourse across different publication channels.
Use Cases
- Compare sentiment scores between professional critic reviews and social media user reviews.
- Analyze linguistic features and vocabulary differences in review text from conventional versus social media sources.
- Train a classifier to predict the review source (conventional or social media) based on textual content features.
- Investigate temporal trends in movie reception by aligning review dates with release cycles.
- Perform topic modeling on review text to identify prevalent themes discussed in each media type.
Strengths
- Covers two full calendar years (2014 and 2015) of movie releases.
- Integrates data from two distinct source types: conventional media and social media.
- Curated and hosted by the authoritative UCI Machine Learning Repository.
Limitations
- Exact row count, column details, and sample size are unknown.
- Data is temporally limited to a two-year window and may not reflect current trends.
- Potential geographic or platform bias is unspecified.
Provenance
- Source
- UCI Machine Learning Repository
- Collection Method
- Aggregated from conventional media outlets and social media platforms.
- Time Range
- 2014 to 2015
- Freshness
- null
- Geography
- null