1 / 2018-07-05 23:49:59
Hotel Maintenance Issue Classifier and Analyzer using Machine Learning and Natural Language Processing
Machine Learning,,Natural Language Processing,Support Vector Machines
全文待审
Banuka Athuraliya / Informatics Institute of Technology
Hospitality and tourism industry websites such as TripAdvisor, Agoda, Expedia, attract a lot of customers that book hotels on a regular basis. Modern trend is for most tourists to book hotels through online websites due to the convenience and discounts. When a customer visits a hotel they usually leave a positive or negative review about the hotel and their experience on the respective booking website. The problem is that most large hotel chains have an issue of prioritizing and classifying these complaints. In the hospitality and tourism industry, there are many applications for customers related to that area (such as hotel aggregators) but there are only very few applications for the hotel management to improve their workflow and provide a better service to the customers. The suggested solution, Revyew, is to explore a method to analyze hotel reviews and extract maintenance related problems and present them in a user-friendly way for the hotel management to take the necessary action.
重要日期
  • 会议日期

    03月14日

    2019

    03月15日

    2019

  • 12月01日 2018

    初稿截稿日期

  • 02月09日 2019

    初稿录用通知日期

  • 02月23日 2019

    终稿截稿日期

  • 03月15日 2019

    注册截止日期

联系方式
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