Topic-based sentiment analysis of hotel reviews. (Special Issue: COVID-19.)

ABSTRACT

We developed a system for sentiment analysis of hotel reviews. The system uses topics to give accurate reports related to some qualities specified by the end-user. This system permits users to evaluate a given hotel services quality according to multiple criteria. Besides, a user can make different detailed comparisons between hotels. To achieve this goal, the proposed system decomposes complex opinions into sub-comments to extract the specified concept. Further, it translates non-English comments into the English language. After having tested the system by using two datasets, the obtained results are judged to be satisfactory.