It is a well known fact that huge quantities of valuable knowledge are embedded in unstructured texts that can be found in the World Wide Web, in intranets and on personal desktop machines. In recent years, there has been an increasing research interest in technologies for extracting and analysing useful structured knowledge from unstructured texts. At the same time, there has been an increasing commercial interest with a number of tools appearing on the market that address the needs of the users to some extent. The workshop discusses recent advances regarding the research into text mining approaches that combine research from machine learning, text mining, natural language processing, information extraction, information retrieval and ontology learning. Emphasis is given to approaches that emphasize the complete document lifecycle i.e., from document collection to document archiving and analysis. At the same time, the workshop discusses the deployment of text mining technology within everyday business problems. Emphasis is given on reports that discuss the implementation of text mining projects that have lead to significant and measurable improvements in business operations or some other equally important benefit to society such as an important scientific discovery. Finally, the workshop discusses the lessons learned from the deployment of text mining technology and the opportunities that appear on the horizon as future challenges for the research community.