travel_review_ratings: Travel Review Ratings

In tyluRp/ucimlr: UCI Machine Learning Repository

Description

This data set is populated by capturing user ratings from Google reviews. Reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated.

Usage

travel_review_ratings

Format

A data frame with 5456 observations on the following 25 variables.

1. user id

2. churches

3. resorts

4. beaches

5. parks

6. theatres

7. museums

8. malls

9. zoo

10. restaurants

11. pubs/bars

12. local services

13. burger/pizza shops

14. hotels/other lodgings

15. juice bars

16. art galleries

17. dance clubs

18. swimming pools

19. gyms

20. bakeries

21. beauty & spas

22. cafes

23. view points

24. monuments

25. gardens

Details

Google reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated.

Source

Shini Renjith, shinirenjith '@' gmail.com

References

Renjith, Shini, A. Sreekumar, and M. Jathavedan. 2018. Evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domaina.

https://archive.ics.uci.edu/ml/machine-learning-databases/00485/

https://archive.ics.uci.edu/ml/datasets/Tarvel+Review+Ratings

tyluRp/ucimlr documentation built on Feb. 2, 2021, 6:51 a.m.