The application related with data mining on social networking

Today, the spread of the Internet, new and emerging applications in recent years began to be used for the purpose of communication and entertainment. Applications which is defined social mediahas easily access to large amounts of data about people and the masses over the internet. Data mining aplications have recently been increased with this research area extend. Researchers extract useful information about masses and people. Data mining aplications are came out with this information is used by advertisement, political, stock exchange and various area.In this thesis, data mining in social networks with applications in the field examined the problems and open work areas.In this study, Turkish tweet dataset is collected and emotional words are determined. Twitter data for each day are analyzed by emotional words. An analysis is carried out to see if there is a relation between Turkish tweets and the Turkish stock market index. Frequency analysis and avarage happiness analysis are used for tweet dataset and this two method are compared eachother. Users similarity is analyzed with used users tweet message. this study is the first study performed on Turkish tweets and stock market index.Key Words : Data Mining, Social Network