Travel Reviews
Donated on 12/18/2018
Reviews on destinations in 10 categories mentioned across East Asia. Each traveler rating is mapped as Excellent(4), Very Good(3), Average(2), Poor(1), and Terrible(0) and average rating is used.
Dataset Characteristics
Multivariate, Text
Subject Area
Other
Associated Tasks
Classification, Clustering
Feature Type
Real
# Instances
980
# Features
-
Dataset Information
Additional Information
This data set is populated by crawling TripAdvisor.com. Reviews on destinations in 10 categories mentioned across East Asia are considered. Each traveler rating is mapped as Excellent (4), Very Good (3), Average (2), Poor (1), and Terrible (0) and average rating is used against each category per user.
Has Missing Values?
No
Variables Table
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0 to 10 of 11
Additional Variable Information
Attribute 1 : Unique user id Attribute 2 : Average user feedback on art galleries Attribute 3 : Average user feedback on dance clubs Attribute 4 : Average user feedback on juice bars Attribute 5 : Average user feedback on restaurants Attribute 6 : Average user feedback on museums Attribute 7 : Average user feedback on resorts Attribute 8 : Average user feedback on parks/picnic spots Attribute 9 : Average user feedback on beaches Attribute 10 : Average user feedback on theaters Attribute 11 : Average user feedback on religious institutions
Renjith,Shini. (2018). Travel Reviews. UCI Machine Learning Repository. https://doi.org/10.24432/C56K6W.
@misc{misc_travel_reviews_484,
author = {Renjith,Shini},
title = {{Travel Reviews}},
year = {2018},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C56K6W}
}pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset travel_reviews = fetch_ucirepo(id=484) # data (as pandas dataframes) X = travel_reviews.data.features y = travel_reviews.data.targets # metadata print(travel_reviews.metadata) # variable information print(travel_reviews.variables)
Creators
Shini Renjith
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.