SENTIMENT ANALYSIS AND TOPIC MODELLING ON TRIPADVISOR REVIEWS AND RATINGS OF RESTAURANTS
SENTIMENT ANALYSIS AND TOPIC MODELLING ON TRIPADVISOR REVIEWS AND RATINGS OF RESTAURANTS
Author(s): Ioana-Andreea Gîfu, Maria Ioana PopaSubject(s): Media studies, Business Economy / Management, Marketing / Advertising, Tourism, ICT Information and Communications Technologies
Published by: Editura Universitaria Craiova
Keywords: sentiment analysis; topic modelling; wordclouds; n-grams;
Summary/Abstract: In today's digital age, the online reviews and ratings that people often provide on travel websites such as TripAdvisor.com help the travel industry promote its products and services and have a constant impact on customer decisions about the places to visit and which hotels or restaurants to prefer. In this paper, we use publicly available datasets containing TripAdvisor reviews and ratings of restaurants in two popular tourist cities (Madrid and Barcelona) to conduct sentiment analysis and topic modeling by means of Natural Language Processing techniques.
Journal: Revista tinerilor economişti
- Issue Year: 2023
- Issue No: 41
- Page Range: 26-41
- Page Count: 16
- Language: English