What do Airbnb users care about? An analysis of online review comments
This study investigates the attributes that influence Airbnb users’ experiences by analysing a “big data” set of online review comments through the process of text mining and sentiment analysis. Findings reveal that Airbnb users tend to evaluate their experience based on a frame of reference derived...
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Published: |
Pergamon
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/73970 |
| _version_ | 1848763146014031872 |
|---|---|
| author | Cheng, Mingming Jin, X. |
| author_facet | Cheng, Mingming Jin, X. |
| author_sort | Cheng, Mingming |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This study investigates the attributes that influence Airbnb users’ experiences by analysing a “big data” set of online review comments through the process of text mining and sentiment analysis. Findings reveal that Airbnb users tend to evaluate their experience based on a frame of reference derived from past hotel stays. Three key attributes identified in the data include ‘location’ ‘amenities’ and ‘host’. Surprisingly, ‘price’ is not identified as a key influencer. The analysis suggests a positivity bias in Airbnb users’ comments while negative sentiments are mostly caused by ‘noise’. This research offers an alternative approach and more coherent understanding of the Airbnb experience. Methodologically, it contributes by illustrating how big data can be used and visually interpreted in tourism and hospitality studies. |
| first_indexed | 2025-11-14T10:58:49Z |
| format | Journal Article |
| id | curtin-20.500.11937-73970 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:58:49Z |
| publishDate | 2019 |
| publisher | Pergamon |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-739702019-07-31T06:28:15Z What do Airbnb users care about? An analysis of online review comments Cheng, Mingming Jin, X. This study investigates the attributes that influence Airbnb users’ experiences by analysing a “big data” set of online review comments through the process of text mining and sentiment analysis. Findings reveal that Airbnb users tend to evaluate their experience based on a frame of reference derived from past hotel stays. Three key attributes identified in the data include ‘location’ ‘amenities’ and ‘host’. Surprisingly, ‘price’ is not identified as a key influencer. The analysis suggests a positivity bias in Airbnb users’ comments while negative sentiments are mostly caused by ‘noise’. This research offers an alternative approach and more coherent understanding of the Airbnb experience. Methodologically, it contributes by illustrating how big data can be used and visually interpreted in tourism and hospitality studies. 2019 Journal Article http://hdl.handle.net/20.500.11937/73970 10.1016/j.ijhm.2018.04.004 Pergamon restricted |
| spellingShingle | Cheng, Mingming Jin, X. What do Airbnb users care about? An analysis of online review comments |
| title | What do Airbnb users care about? An analysis of online review comments |
| title_full | What do Airbnb users care about? An analysis of online review comments |
| title_fullStr | What do Airbnb users care about? An analysis of online review comments |
| title_full_unstemmed | What do Airbnb users care about? An analysis of online review comments |
| title_short | What do Airbnb users care about? An analysis of online review comments |
| title_sort | what do airbnb users care about? an analysis of online review comments |
| url | http://hdl.handle.net/20.500.11937/73970 |