Data · dataset · 2026
Online review dataset from Agoda and Trip.com for tourist hotels in Taipei
Listed in Teesside University Research Data Repository
This dataset contains 19,728 de-identified English-language online reviews collected from Agoda and Trip.com for 32 tourist hotels in Taipei.
Description
The reviews cover the period from January 2023 to December 2025 and are organized into two platform-specific CSV files corresponding to Agoda and Trip.com. Each review record contains six fields: hotel, review_id, review_time, rating, rating_text, and text.
The hotel field identifies the reviewed hotel; review_id is a researcher-generated identifier; review_time records the review publication time at the year–month level; rating and rating_text provide the numerical and textual rating information, respectively; and text contains the English review content. The dataset was cleaned and de-identified before publication. Reviewer names, platform user identifiers, nationality or location information, exact review dates, stay dates, and other account-related information were removed.
Read the rest (1 more)
The dataset can be used for academic research on natural language processing, sentiment analysis, text classification, hotel service quality, and customer experience.
Links
Where it is published
- DOI doi.org/10.17632/z47pkh4x95.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Natural language processing · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/z47pkh4x95.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |