|
Tarvel Review Ratings Data Set
Download: Data Folder, Data Set Description
Abstract: 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.
|
|
Data Set Characteristics: |
Multivariate, Text |
Number of Instances: |
5456 |
Area: |
N/A |
Attribute Characteristics: |
Real |
Number of Attributes: |
25 |
Date Donated |
2018-12-19 |
Associated Tasks: |
Classification, Clustering |
Missing Values? |
N/A |
Number of Web Hits: |
28421 |
Source:
Shini Renjith, shinirenjith '@' gmail.com
Data Set Information:
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.
Attribute Information:
Attribute 1 : Unique user id
Attribute 2 : Average ratings on churches
Attribute 3 : Average ratings on resorts
Attribute 4 : Average ratings on beaches
Attribute 5 : Average ratings on parks
Attribute 6 : Average ratings on theatres
Attribute 7 : Average ratings on museums
Attribute 8 : Average ratings on malls
Attribute 9 : Average ratings on zoo
Attribute 10 : Average ratings on restaurants
Attribute 11 : Average ratings on pubs/bars
Attribute 12 : Average ratings on local services
Attribute 13 : Average ratings on burger/pizza shops
Attribute 14 : Average ratings on hotels/other lodgings
Attribute 15 : Average ratings on juice bars
Attribute 16 : Average ratings on art galleries
Attribute 17 : Average ratings on dance clubs
Attribute 18 : Average ratings on swimming pools
Attribute 19 : Average ratings on gyms
Attribute 20 : Average ratings on bakeries
Attribute 21 : Average ratings on beauty & spas
Attribute 22 : Average ratings on cafes
Attribute 23 : Average ratings on view points
Attribute 24 : Average ratings on monuments
Attribute 25 : Average ratings on gardens
Relevant Papers:
Renjith, Shini, A. Sreekumar, and M. Jathavedan. 2018. “Evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domainâ€. In 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 127–31. IEEE.
Citation Request:
Renjith, Shini, A. Sreekumar, and M. Jathavedan. 2018. “Evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domainâ€. In 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 127–31. IEEE.
| 
