The world of text mining is simultaneously a minefield and a gold mine. It is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining machine learning information retrieval natural language processing case- based reasoning statistics and knowledge management) in an effort to help people gain insight understand and interpret large quantities of (usually) semi-structured and unstructured data. Despite the advances made during the last few years many issues remain umesolved. Proper co-ordination activities dissemination of current trends and standardisation of the procedures have been identified as key needs. There are many questions still unanswered especially to the potential users; what is the scope of Text Mining who uses it and for what purpose what constitutes the leading trends in the field of Text Mining -especially in relation to IT- and whether there still remain areas to be covered.