Hotel Maintenance Issue Classifier and Analyzer
powered by Machine Learning and Natural Language Processing
Read the full research paper on IEEE
powered by Machine Learning and Natural Language Processing
Read the full research paper on IEEERevyew is an utility tool built for hotels to automatically analyze and identify issues based on user reviews. The system is capable of highlighting maintenance related issues as well as categorizing and prioratizing issues so that the hotel management can take the necessary action to provide the best expereince for customers.
The system was designed and developed by Banuka Athuraliya
Read the full research paper on IEEERevyew has been mainly built with hotel management in mind, but it can be used in majority of fields after slight tweaking. It is surely going to change the way you look at your customer reviews.
Revyew was selected for the following conferences
Research paper Presented and Published at the IEEE IEMCON 2018 held in University of British Columbia in Vancouver, British Columbia, Canada in November 2018
Research paper selected to the “Future of Information and Communication Conference (FICC) 2019” held in San Francisco, USA in March 2019
Research paper selected to the “Computer Vision Conference (CVC) 2019” held in Las Vegas, Nevada, USA in April 2019
Research paper selected to the “World Congress on Computer Science, Machine Learning and Big data Analytics” held in Dubai in August 2018
Research paper selected to “Artificial Intelligence International Conference – A2IC 2018” held in Barcelona, Spain in 2018
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