Amazon Shoe Reviews for Sentiment and Trend Analysis

Customer reviews for shoes sold on the Amazon platform. The dataset was created by msalazark and last updated in July 2022. It contains text data from an unspecified number of reviews.

Use Cases

• Train sentiment classifiers using the review text to predict star ratings.
• Perform topic modeling on review text to identify common themes like comfort, durability, or fit.
• Analyze review metadata like date or product ID to track sentiment trends over time or across brands.

Strengths

• Data sourced from a major e-commerce platform with high-volume user feedback.
• Includes structured text data suitable for NLP tasks.

Limitations

• Unknown total number of reviews and columns limits assessment of scale and utility.
• Data is from 2022 and may not reflect current market trends or products.
• Potential for geographic or language bias as region is listed as 'us'.

Provenance

Source

Amazon customer reviews.

Collection Method

Scraped or collected from Amazon platform.

Time Range

null

Freshness

Last updated in July 2022; no update frequency specified.

Geography

Primarily United States (based on 'us' region tag).