Data mining looks for patterns in database data. It facilitates the extraction of useful information from various databases (data warehouses). Data mining works with large amounts of data. Due to the large quantities, the knowledge hidden in the data is not visible at first glance and must be discovered. This implies that at the beginning of the process, knowledge is not known. The patterns and relationships identified may be new and surprising. In data mining, data refers to structured and relational data[6]. Text mining works with unstructured data: texts. Text mining is the extraction of useful information from text data. It is also known as text data mining or knowledge discovery from text databases. Text mining is a variation of a field called data mining that attempts to find interesting patterns from large databases. Little research has been conducted on textual data mining[8]. Based on this research, information retrieval techniques such as text indexing, text classification and text summarization methods have been developed to deal with unstructured documents (Soundararajan et al, 2014). 1.0.1 Mining textual and unstructured data