Datasets › EPRSTMT
EPRSTMT (E-commerce Product Review Dataset for Sentiment Analysis)
The EPRSTMT dataset, also known as EPR-sentiment, is a binary sentiment analysis dataset based on product reviews on an e-commerce platform. Each sample in the dataset is labeled as either Positive or Negative. It was collected by the ICIP Lab of Beijing Normal University and has been re-organized to make it suitable for sentiment analysis tasks.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 13 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- EPRSTMT
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections