Yerel Restoranların Değerlendirilmesinde Fikir Madenciliği: Gaziantep Örneği (Opinion Mining in the Evaluation of Local Restaurants: The Case of Gaziantep)
DOI:
https://doi.org/10.21325/jotags.2021.794Keywords:
Gaziantep restaurants, Text mining, Opinion mining, Aspect based sentiment analysis, Local restaurantAbstract
In the tourism industry, the analysis of online tourist comments is seen as one of the methods to evaluate the products and services offered by businesses and to understand the needs of tourists. Evaluation of textual contents in tourist comments can be done by opinion mining, one of the text mining methods. Purpose of the study; It is the evaluation of foreign tourists' comments about restaurants that serve Gaziantep region-specific dishes on the TripAdvisor site, using the aspect-based sentiment analysis technique. During the data collection phase, restaurants operating in Gaziantep and ranked in the top eight on the TripAdvisor site were selected. Within the scope of the research, 358 comments created by foreign tourists in 2019-2020 about eight restaurants were collected by the researcher using the web scraping technique between 05.01.2021-09.01.2021. According to the research findings; Foreign tourists found the food served in Gaziantep restaurants delicious and positively evaluated their freshness and spicy taste. They also expressed their satisfaction with the atmosphere of the restaurants and the friendly approach of the staff. Tourists evaluated the restaurants as clean and stated that they could recommend it to others. On the other hand, tourists negatively rated restaurants as being expensive and busy.
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