Vietnamese Fashion Reviews for Aspect-Based Sentiment Analysis

Fashionreviews is a dataset of customer reviews for fashion products, with all review texts exclusively in Vietnamese. It was sourced from e-commerce platforms and repositories including Shopee, Lazada, Kaggle, and Amazon Fashion Reviews. The dataset was created by vinhplaykennen and was last updated on 2026-05-25.

Use Cases

• Train aspect-based sentiment analysis models based on Vietnamese review text.
• Analyze consumer feedback patterns in the Vietnamese fashion e-commerce sector based on review content.
• Benchmark Vietnamese NLP models on a domain-specific sentiment analysis task.
• Study cross-platform review language and sentiment based on the multi-source collection.

Strengths

• Review texts are exclusively in Vietnamese, providing a focused language resource.
• Data is sourced from multiple major e-commerce platforms, including Shopee, Lazada, Kaggle, and Amazon Fashion Reviews.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is in the future (2026-05-25).

Provenance

Source

Sourced from e-commerce platforms and repositories including Shopee, Lazada, Kaggle, and Amazon Fashion Reviews.

Collection Method

Curated from a diverse range of e-commerce platforms and repositories.

Freshness

Last updated 2026-05-25 15:57:58