Technology Planning and New Product Development with Textmining and Webmining

Fraunhofer INT

Improved performance for your innovation process

The Fraunhofer Institute for Technological Trend Analysis (INT) provides web-based tools and approaches based on Textmining, Webmining and Text Classification in order to support the process of technology planning and new product development.

New technological ideas from recent technological developments (technology push) and new product ideas from current consumer needs (market pull) are extracted automatically from texts and from the Internet to advance the process of innovation in the enterprise. Further, an assessment of the innovation potential of new ideas is done.

The current technological environment is analyzed by text classification methods. Technological trends from the perspective of the company are shown by use of the Compared Cross Impact approach.

The identification of profitable customers by use of Latent Semantic Indexing and prediction modeling support the acquisition process of a company.

The web-based tools are based on scientific publications. A free trial is available for each tool.

Content

Publications

Thorleuchter, D., Van den Poel, D., Prinzie, A.: Analyzing existing customers' websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing. Expert Systems With Applications (in review).

Thorleuchter, D., Van den Poel, D.: Predicting E-Commerce Company Success by Mining the Text of Its Publicly-Accessible Website. Electronic Commerce Research and Applications (in review).

Thorleuchter, D., Van den Poel, D., Prinzie, A.: Mining Ideas from Textual Information. Expert Systems with Applications 37 (10), 2010, 7182-7188, doi:10.1016/j.eswa.2010.04.013.

Thorleuchter, D., Van den Poel, D., Prinzie, A.: A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies. Technological Forecasting and Social Change 77 (7), 2010, 1037-1050, doi:10.1016/j.techfore.2010.03.002.

Thorleuchter, D., Van den Poel, D., Prinzie, A.: Mining Innovative Ideas to Support new Product Research and Development. In: Hermann Locarek-Junge, Claus Weihs (editors): Classification as a Tool for Research, Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Springer, Berlin-Heidelberg-New York, 2010, doi:10.1007/978-3-642-10745-0_64.

Thorleuchter, D., Van den Poel, D. and Prinzie, A.: Extracting Consumers Needs for New Products. In: Proceedings of WKDD 2010, IEEE Computer Society, Los Alamitos, CA, pp. 440-443, 2010, doi:10.1109/WKDD.2010.14

Thorleuchter, D., Van den Poel, D., Prinzie, A.: A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies. Working Papers of Faculty of Economics and Business Administration 10/632, Ghent University, Belgium, 2010, RePEc:rug:rugwps:10/632

Thorleuchter, D., Van den Poel, D., Prinzie, A.: Mining Ideas from Textual Information. Working Papers of Faculty of Economics and Business Administration 09/619, Ghent University, Belgium, 2009, RePEc:rug:rugwps:09/619

Thorleuchter, D., Gericke, W., Weck, G., Reiländer, F., Loß, D: Vertrauliche Verarbeitung staatlich eingestufter Information - die Informationstechnologie im Geheimschutz. Informatik-Spektrum 32 (2009), Nr. 2, pp. 102-109, doi:10.1007/s00287-008-0299-0

Thorleuchter, D.: Finding technological ideas and inventions with text mining and technique philosophy. In: Schmidt-Thieme, L. (editor): Data Analysis, Machine Learning, and Applications. Springer, Berlin-Heidelberg-New York, pp. 413-420, 2008, doi:10.1007/978-3-540-78246-9_49

Thorleuchter, D.: Modeling a secure computer system. In: The International Association for Statistical Computing (editor): Proceedings of the Satellite Workshop of the IASC 2008 World Conference 'Statistical Modeling for Computer Security', Soongsil University, Seoul, Korea, pp. 111-125, 2008.