Abstract: Text Mining is the process of extracting interesting information or knowledge or patterns from the unstructured text that are from different sources. The amount of data stored has been enormously increasing day by day in many business organizations, so discovering patterns and trends out of massive data is a great challenge. Many organizations have large amounts of data in the form of unstructured text. For the purpose of knowledge discovery and information retrieval from such textual data text mining is used. Text mining is a kind of data mining technique responsible for retrieving valuable information from collection of text. The Business intelligence systems combine operational and historical data with analytical tools to present valuable and competitive information to business planners and decision makers. This large amount of information can lead to the development of new opportunities for the organization. The use of Text mining in extracting business intelligence is discussed in this paper.
Keywords: Text Mining, Business Intelligence, Data Warehouse, Document Warehouse, ETL.