Data mining on text data and related applications

There is extremely large amount of textual information stored and fast growingly continued to be stored into many storage tools such as database and data warehouse. Thus, reaching needed information is getting slow and hard. Because of this situation, a robust analyzing tool is needed to users. Text mining, which is a branch of data mining, is developed and is still fastly developing tool to handle this problem.Text mining is multidisciplinary that those are ?Natural Language Processing, Information retrieval, Statistics and Data Mining?. In this study, those areas are defined in detail and what parts of those areas are used in text mining.There are many applications that text mining tool is used. In this thesis those are mentioned slightly but automatic text summarization. One of the most used applications in text mining area is automatic text summarization. Needed information has to be reached fastly but after information reached, user must read whole document for interested information. Automatic text summarization task handles this problem and generates a summary of documents to users for time consuming.In this study automatic text summarization task is explained in details and a couple of algorithms are mentioned. Finally, a software coded by using one of those algorithms and then ten Turkish news articles are summarized analyzed by the software.