Amazon Shoe Reviews for Text Analysis

A text dataset of Amazon shoe reviews, uploaded by user 'mbyanfei' to Hugging Face in July 2022. The dataset is categorized as containing over 100,000 entries and is tagged with US region. Data modality is text.

Use Cases

• Train sentiment classification models using review text to predict star ratings.
• Analyze consumer language patterns and topics in review text to identify common product praises or complaints.
• Develop text generation models for creating synthetic product reviews based on the provided review corpus.

Strengths

• Contains over 100,000 entries based on platform size category tags.
• Data is stored in Parquet format, which is efficient for large-scale processing.

Limitations

• No column names or sample data are provided, making schema and content assessment impossible.
• The dataset has not been updated since July 2022, potentially missing recent trends.

Provenance

Source

Amazon, via user 'mbyanfei' on Hugging Face.

Collection Method

Presumably scraped or collected from Amazon public reviews.

Time Range

null

Freshness

Last updated July 2022; no update frequency specified.

Geography

Tagged with US region, suggesting primary geographic focus.