What can big data and text analytics tell us about hotel guest experience and satisfaction? [Summary]
| dc.date.accessioned | 2021-01-04T12:48:38Z | en |
| dc.date.available | 2021-01-04T12:48:38Z | en |
| dc.date.issued | 2020-11-07 | en |
| dc.description.abstract | Through this research done by analyzing an enormous amount of texts, it is implied that the hygiene factor is important for hotel guests enjoying the hotel experience. Moreover, since there is a strong association between satisfaction and guest experience, hotel management can utilize to infer customer satisfaction through text analysis from social media’s comments that guests have left. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/10919/101712 | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Hotel | en |
| dc.subject | Social media | en |
| dc.subject | data analysis | en |
| dc.subject | text mining | en |
| dc.subject | expedia | en |
| dc.title | What can big data and text analytics tell us about hotel guest experience and satisfaction? [Summary] | en |
| dc.type | Summary | en |
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