M.A. Thesis:

Identifying and Analysis Tourism-Related Tweets

Identification and tweets analysis has an important role in economics, health, play and such items besides facilities and services and it can help to progress and improve satisfaction level of individuals and society with regard to health, play and economics. In the field of social networks applications such as twitter, too many case study including location, disease and etc. are conducted, which has been able to highlight the role of their use in improving these issues. In the social networks, twitter has obtained too many user with varied age and in different locations, therefore it is known as a popular social network. The related works in accordance with tweet analysis are done on various topics and each of them are conducted specific analysis based on specific case study, but in the field of medical tourism, there exist a need for comprehensive analysis in order to use its result in different fields. In this thesis, first, the keywords in accordance with health tourism are chosen, and then in a specific time they are collected through a user interface and then analyzed. In order to tweets analysis, the tweeter’s user are classified into four groups, and the number of users for each category are obtained. Furthermore, the number of original tweets, retweets, and tweets with username, number of followers and friends of each group, maximum and minimum number of followers and friends, the tweets areas are calculated. After that, geolocation and geographical coordinate analysis for tweets are conducted and finally the tweets can be categorized based on subject. In the thesis implementation, our data is collected from 2016/11/06 to 2016/11/19. User’s classification and geographical location analysis are conducted with help of xampp software. Then, in order to thematic analysis xampp and mallet software are also used. Furthermore, softwares such as notepad++ and Microsoft excel are used to store and some operations of sorting and statistical calculations. Summarized tables and its charts are used for better analysis and important topics and perspectives in the field of medical tourism tweets can be identified and analyzed.

Keywords: Tweeter, Location, Geographical position, Organizations, News agencies, celebrities, ordinary people