The use of artificial intelligence (AI) to analyze and understand human language in guest reviews, messages, or other text data, enabling automation and insights for hosts.
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Glossary Term: Sentiment Analysis
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Structured and unstructured data gathered from various touchpoints that reflect guest feedback, preferences, and sentiments about a short-term rental experience.
A structured approach to systematically collecting, analyzing, and acting on customer feedback to improve products, services, and the overall customer experience within a short-term rental business.
Examining guest feedback to identify areas for improvement, understand guest preferences, and enhance the rental experience.
Using natural language processing to determine the overall sentiment (positive, negative, neutral) expressed in guest reviews.
Short for “Short-Term Vacation Survey Analysis,” it involves examining and interpreting guest feedback collected through post-stay surveys to identify trends, areas for improvement, and actionable insights for enhancing the guest experience.
Systematically analyzing guest reviews and feedback to identify patterns in requests, preferences, and areas for improvement.
Analyzing guest reviews to identify patterns and insights related to the preferences and expectations of the defined target market for continuous improvement.
Systematically analyzing guest reviews and feedback to identify areas for improvement and enhance the guest experience.
The idea that 80% of the insights from guest reviews often come from 20% of the feedback, highlighting key areas for improvement.
A hypothetical software or platform that analyzes guest data to provide insights into booking patterns, preferences, and sentiment. This information can help hosts optimize their listings, pricing, and marketing strategies.
A set of APIs from Microsoft Azure that provide AI capabilities for vision, speech, language, and decision making, applicable to enhancing guest experiences in short-term rentals.