Turistik Mekanlara Yönelik Sosyal Medya Paylaşımlarının Yapay Zekâ Yöntemleriyle Değerlendirilmesi: Artvin İli Örneği (Evaluation of Social Media Posts for Touristic Places with Artificial Intelligence Methods: The Case of Artvin Province)

Abstract

Today, as in many fields, social media is also used in tourism. This produce a large amount of data which is also called big data. These data contain useful information for both tourism consumers and tourism managers. However, the fact that social media posts contain different types of data makes it difficult to analyze these data and to obtain meaningful information from the data. Methods beyond traditional data analysis approaches are needed for this knowledge discovery process. This study, it is aimed to determine the mood on the comments and photos shared by the tourists on social media about the places they visited. For mood detection, a support vector machines algorithm was used on text data and convolutional neural networks were used on photographic data. As a result of the analyzes carried out, the emotional states of the visitors who visited the application area of the study, the change of their moods according to time, the subjects they were satisfied and dissatisfied were determined, and the findings were verified by associating them with external data such as road and weather conditions. Sentiment analysis, subject modeling analysis, trend analysis and correlation analysis were used for analysis. With the study, an evaluation approach was presented to tourism business managers and policy developers as well as an exemplary study.