Text mining and an application in health

The development of technology at speed has led to a rapid increase in the data in the databases as computers and the Internet are more integrated into daily life and recording of many transactions in the electronic environment has made it possible to store these records and make them easier to access and provide cheaper. In this case, as the raw data increased day by day along with the databases, the need to be accurate and reliable emerged. Therefore, data mining has become an important field of study. While it is possible to analyze numerical data in data mining, analyzing non-numerical data in text mining has become an important need. Because of this need, studies on text mining have gained momentum. Text mining digitizes textual data and makes it applicable to data mining algorithms and it is of great importance in today's world. In the application phase of the study, there are two different topics that are identified as "cancer cases in humans "and "cancer research in mice" and these documents obtained from the most commonly used Pubmed database have been combined and text mining techniques have been applied to these documents respectively. It will be given detail about the Knime program is used in text mining and the steps taken in the documents obtained will be given in detail.