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PARDO Phillip Dean
Department Ritsumeikan Asia Pacific University College of International Management Position Professor |
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| Research Period | 2014 |
| Research Topic | Prediction of Hotel Occupancy Rates using Social Media Data |
| Research Type | Joint Research |
| Research Division | |
| Keyword | Data Mining, Predictive Analysis, sentiment modeling, Social Media,Hotel Occupancy, Hospitality, Change point analysis, algorithmic analysis, Forecasting, Big Data |
| KAKENHI Category | Business administration
Soft computing Accounting |
| Research System | Frontier Research |
| Details | フロンティア研究 Predicting hotel occupancy rates using social media data. The premise is that expressions of sentiment, embedded in social media, should provide an indication of how the public and the consumer feel about travel to a tourism destination. The question is, how can we extract this sentiment and once extracted, can that sentiment actually be used to forecast something as concrete as hotel occupancy rates? |