De-Identified Lushan Tourist Reviews for NLP and Teaching Resources

261.0 KB of supplementary materials for a manuscript on transforming tourist reviews into AI teaching resources. The package includes de-identified review data, pedagogical units, aggregate statistics, and reproducible Python scripts. Author Yuechuan Yu last updated the materials in May 2026.

Use Cases

• Teaching sentiment analysis concepts based on the de-identified tourist review data.
• Reproducing NLP pipelines based on the included Python scripts and instructions.
• Developing pedagogical units for AI education based on the constructed teaching materials.
• Analyzing aggregate statistics derived from tourist reviews.

Strengths

• Includes reproducible Python scripts for the main NLP pipeline.
• Contains constructed pedagogical teaching units alongside the raw data.
• Released under a permissive CC-BY-4.0 license.
• Data is de-identified, which may address some privacy concerns.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The 261.0 KB size suggests a limited scope of data.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Yuechuan Yu.

Collection Method

Likely collected from tourist review platforms for Lushan, based on the manuscript title.

Time Range

null

Freshness

Last updated 2026-05-20 04:49:13; freshness should be verified.

Geography

Likely focuses on Lushan, a mountain region in China.