A text mining application in data mining

By using text mining which is one of the sub-branches of data mining, the desired core information within the high capacity texts can be reached. Since the data are mostly in text form, most of the data mining applications are performed through text mining. In this scope, we can actually say that text mining is a reflection of data mining.In this thesis; the development processes of the data mining which has been used in many areas in recent years and the text mining which is the sub-branch of data mining, the models used and the areas where these applications may bring solutions are emphasized. The hidden relations in the databases can be revealed with data and text mining techniques.The area at which the text mining is commonly used is analysing the Turkish texts. An application consisting of 2 modules has been developed on extracting the significance charts of the Turkish words. At the application phase, the words in the text are separated into their roots by using open source software ? zemberek?. The hidden relations between the texts which are separated into their roots are discovered with the help of the software developed within the scope of this thesis. In light of these discovered data, the semantic relation status between the words are analysed and the estimation of the meaning of the words is performed as the result of the analysis. Furthermore a range of suggestions have been made for the further studies on text mining.Key words: Data mining, Text mining, Database, Word Relations, Text Analysis.