Amazon Shoe Reviews Dataset

Amazon Shoe Reviews is a text dataset containing user feedback on footwear products from the Amazon platform. The dataset was created by user 'amissier' and last updated on June 19, 2022.

Use Cases

• Perform sentiment analysis on review text to gauge overall customer satisfaction for different shoe brands.
• Train a text classification model to categorize reviews by mentioned features like comfort, durability, or fit.
• Analyze review text for emerging trends or common complaints within the shoe product category.
• Use review text as a feature in a model predicting product ratings or purchase likelihood.

Strengths

• Dataset is hosted on Hugging Face, a reputable platform for machine learning data.
• Includes metadata tags indicating regional focus (Regionus) and compatibility with common data libraries (pandas, polars).

Limitations

• The total number of rows and specific columns are unknown, limiting assessment of scale and structure.
• Data is from 2022 and may not reflect current market trends or recent product reviews.
• Potential geographic bias as platform tags suggest a US region focus.

Provenance

Source

Amazon user reviews, aggregated by the author 'amissier'.

Collection Method

Scraped or collected from the Amazon e-commerce platform.

Time Range

null

Freshness

Last updated in June 2022; static dataset with no stated update frequency.

Geography

Likely United States, based on platform tags.