Amazon Review Helpfulness Ratings for Sentiment Analysis

Amazonreviewhelpfulness is a dataset from HuggingFace, uploaded by user 'vannacute' in December 2021. It contains Amazon product reviews, likely with associated helpfulness ratings. The dataset is categorized for text classification and sentiment analysis tasks.

Use Cases

• Predict review helpfulness scores from review text using text classification models.
• Analyze the relationship between review sentiment (positive/negative) and perceived helpfulness.
• Train models to identify features in review text that correlate with high or low helpfulness ratings.

Strengths

• Dataset is hosted on HuggingFace, providing a standardized and accessible platform for download and integration.
• Platform tags indicate it is structured for text classification and sentiment analysis tasks.

Limitations

• The total number of rows, columns, and sample data are unknown, making it difficult to assess scale and structure.
• The dataset has not been updated since 2021, which may limit its relevance for current Amazon review trends.

Provenance

Source

Amazon customer reviews.

Collection Method

null

Time Range

null

Freshness

Last updated on 2021-12-14.

Geography

Region is tagged as 'us', suggesting a focus on reviews from the United States.