AI summary · arXiv: 2002.05342v3 · cs.CY

Understanding the Impact of Customer Reviews on Hotel Rating: An Empirical Research

J. Ahmad, H. Sami Ullah, S. Aslam

Original paper · DOI Submitted to arXiv on 13 Feb. 2020 13 pages, 13 Figures and 16 References License: CC BY 4.0

The essentials

  • The Internet has transformed our lives, impacting communication and purchasing habits.
  • Online platforms like social media, review sites, and blogs allow users to share experiences and opinions on products and services.
  • Hotel review sites are popular for guests to provide feedback, aiding potential customers in making informed decisions.
  • The hotel industry in Europe is significant for the economy, providing high-quality service and memorable experiences.
  • This study focuses on analyzing online reviews from platforms such as Booking.com to understand customer satisfaction factors.
  • Text analytics can extract valuable insights from customer-generated content for improved decision-making processes by hotel operators.
  • Data analytics is crucial in transforming unstructured text into meaningful information to identify key insights from reviews, discussions, and comments.
  • Text analysis helps reveal hidden insights about customer sentiments, preferences, and motivations.
  • Listening to customers' voices through online reviews and leveraging data analytics can enhance customer satisfaction and drive business growth in the competitive hotel industry.

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Internet communication purchases hotel review sites data analytics

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  • Original abstract
The Internet has transformed our lives in various ways, from the way we communicate to how we make purchases. Online platforms such as social media, review sites, and blogs have made it possible for users to share their experiences and opinions on products and services, including hotels. Hotel review sites have become a popular platform for guests to provide feedback on their stays, helping potential customers make informed decisions. In Europe, the hotel industry plays a significant role in the economy by providing high-quality service and creating memorable experiences for guests. This study aims to understand the factors that contribute to customer satisfaction and expectations by analyzing online reviews from platforms like Booking.com. Through text analytics, valuable insights can be extracted from customer-generated content. By analyzing these insights, hotel operators can gain a better understanding of their guests' preferences and improve decision-making processes. Data analytics is crucial in transforming unstructured text into meaningful information that allows businesses to identify key insights from reviews, discussions, and comments. Text analysis also helps uncover hidden insights about customer sentiments, preferences, and motivations. Overall,this research highlights the importance of listening to customers' voices through online reviews and leveraging data analytics to enhance customer satisfaction and drive business growth in the competitive hotel industry.

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