Joshua L. Lee
ABSTRACT
A majority of blogs and websites utilize the five-star rating system with one being the lowest and five being the highest in rating the quality of experience or service in tourist spots. Customers leave reviews and suggestions in an effort to create an impact on the rating of the landmark as well as to help future customers. However, people usually skim through the reviews and base the quality of service on the star rating. This paper proposes that using Sentiment Analysis to evaluate the actual reviews will be a more standardized means of determining the quality of the establishment in comparison to user generated ratings. We conducted testing by choosing establishments in Cebu at random and collating reviews about the chosen places. These gathered reviews were then classified using Sentiment Analysis employing different methods and then compared. Future researchers may use or build upon the findings of this paper to improve ranking systems or replace the five-star rating system altogether.
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Index Terms
- A Comparative Study: Different Automatic Approaches of Stars Generation for Reviews
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