SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting Hotel Room Occupancy Using Long Short-Term Memory Networks with Sentiment Analysis and Scores of Customer Online Reviews
16 references·1 citing·49 second hop
Forecasting Hotel Room Occupancy Using Long Short-Term Memory Networks with Sentiment Analysis and Scores of Customer Online Reviews (2021)Forecasting Hotel Room Occupancy Using Lo…Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models (2021)Modeling and Forecasting Dail…Using machine learning and big data for efficient forecasting of hotel booking cancellations (2020)Using machine learning and bi…Review of tourism forecasting research with internet data (2020)Review of tourism forecasting…The impact of online reputation on hotel profitability (2019)The impact of online reputati…Forecasting hotel room prices in selected GCC cities using deep learning (2019)Forecasting hotel room prices…Forecasting Hotel Accommodation Demand Based on LSTM Model Incorporating Internet Search Index (2019)Forecasting Hotel Accommodati…Digital marketing strategies, online reviews and hotel performance (2018)Digital marketing strategies,…New developments in tourism and hotel demand modeling and forecasting (2017)New developments in tourism a…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Forecasting Destination Weekl…Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews (2016)Big data for big insights: In…The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis (2015)The interactive effects of on…Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales (2013)Ratings lead you to the produ…Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data (2013)Predicting Hotel Demand Using…Forecasting hotel room demand using search engine data (2012)Forecasting hotel room demand…Restaurant Revenue Management (1998)Restaurant Revenue ManagementForecasting resort hotel tourism demand using deep learning techniques – A systematic literature review (2023)Forecasting resort hotel tour…Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Econometric Analysis of Cross Section and Panel Data (2001)An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust (2018)Retail forecasting: Research and practice (2019)The impact of social media celebrities' posts and contextual interactions on impulse buying in social commerce (2019)Macroeconomics and Reality (1980)Tourism demand modelling and forecasting—A review of recent research (2007)Predicting the Present with Google Trends (2012)Forecasting Chinese tourist volume with search engine data (2014)Forecasting tourist arrivals with machine learning and internet search index (2018)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Book Review: Time Series Analysis: Forecasting and Control (1977)Efficient Tests for an Autoregressive Unit Root (1996)What can big data and text analytics tell us about hotel guest experience and satisfaction? (2014)Tourism demand forecasting: A deep learning approach (2019)Consumer perceived value: The development of a multiple item scale (2001)The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance (2006)What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.Com1 (2010)Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews (2019)Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels (2019)What do hotel customers complain about? Text analysis using structural topic model (2019)Forecasting, Structural Time Series Models and the Kalman Filter (1990)Twitter mood predicts the stock market (2011)Big data: a revolution that will transform how we live, work, and think (2013)Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews (2018)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Artificial intelligence: a systematic review of methods and applications in hospitality and tourism (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)Electronic word-of-mouth in hospitality and tourism management (2007)Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics (2010)Why do people purchase from online travel agencies (OTAs)? A consumption values perspective (2020)Digital marketing in SMEs via data-driven strategies: Reviewing the current state of research (2021)Social Media in Tourism and Hospitality: A Literature Review (2013)A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (2016)Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic (2021)Progress on novelty in tourism: An integration of personality, attitudinal and emotional theoretical foundations (2022)Revealing the dual importance and Kano type of attributes through customer review analytics (2022)Has Revenue Management become Acceptable? (2003)An overview of research on revenue management: current issues and future research (2006)When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity (2014)
this work references cited by second hop

References

  • 2017Deep learning with long short-term memory networks for financial market predictions3,010 cited
  • 2013Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales418 cited
  • 2018Digital marketing strategies, online reviews and hotel performance412 cited
  • 2017New developments in tourism and hotel demand modeling and forecasting313 cited
  • 2016Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews267 cited
  • 2013Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data234 cited
  • 2016Forecasting Destination Weekly Hotel Occupancy with Big Data229 cited
  • 2012Forecasting hotel room demand using search engine data204 cited
  • 2020Review of tourism forecasting research with internet data194 cited
  • 1998Restaurant Revenue Management192 cited
  • 2015The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis191 cited
  • 2019The impact of online reputation on hotel profitability131 cited
  • 2020Using machine learning and big data for efficient forecasting of hotel booking cancellations114 cited
  • 2019Forecasting hotel room prices in selected GCC cities using deep learning

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

64 cited
  • 2021Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models63 cited
  • 2019Forecasting Hotel Accommodation Demand Based on LSTM Model Incorporating Internet Search Index57 cited
  • Cited by

    • 2023Forecasting resort hotel tourism demand using deep learning techniques – A systematic literature review28 cited