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<aside> đź’ˇ Purpose
This powerful tool provides a detailed overview of your guest's sentiments and emotions towards your hotel. By analyzing comments and feedback, you can gain invaluable insights into the guest experience, helping you to make data-driven improvements to your operations.
We use IBM Watson’s machine learning and integrated ChatGPTs’ technology to analyze all of the comments your guests give, to uncover deep insights into their experience and your hotel’s operations.
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<aside> đź“Ť Navigation
In the menu simply go to Sentiment Analysis just below the Analytics Dashboard.
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Sentiment and Emotion
The top two areas (Sentiment Analysis and Emotion Analysis) analyze the words, punctuation, and sentence structure used to determine the satisfaction in guest comments (sentiment) and the most prevalent emotion in their voice (emotion). This is possible through the use of IBM Watsons Machine learning and integrated Chat GPT!
What’s Trending
These are the concepts and keywords that keep coming up in your comments and created tickets, and are most relevant to your current operations. A great way to spot long-term trends!
Comment Analysis
See the sentiment and emotion analysis on an individual-comment basis. You can also filter this data to only show satisfied, neutral, or dissatisfied comments.
Timeline Dashboard
We can breakdown which keywords were trending from guest comments per month per satisfaction group (detractors vs. passives vs. promoters).
