Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting

Keyphrases

• Predictive Power 100%
• Textual Data 100%
• Online Reviews 100%
• Hotel Demand 100%
• Hotel Demand Forecasting 100%
• Review Topic 50%
• Autoregressive Integrated Moving Average (ARIMA) 50%
• Online Data 50%
• Information Type 50%
• Hotel Management 50%
• MIDAS 50%
• COVID-19 50%
• Short-term Forecasting 50%
• Topic Modeling 50%
• Crowd Management 50%
• Sentiment Score 50%
• Long Short-term Memory Model 50%
• Mixed Data Sampling Model 50%
• Topic Sentiment Analysis 50%
• Public Health Events 50%
• Text Big Data 50%
• Model Data 50%
• Latent Dirichlet Allocation Topic Modeling 50%
• Forecasting Performance 50%
• Topic-aware 50%
• Topic Modeling Analysis 50%
• Forecasting Research 50%

Social Sciences

• Hotel 100%
• Topic Modeling 50%
• Hotel Management 25%
• Memory Model 25%
• COVID-19 25%
• Big Data 25%
• Opinion Mining 25%
• Long Short-Term Memory Network 25%
• Long Short-Term Memory 25%
• Public Health 25%
• ARMA Model 25%