This paper describes an approach to find automatically new technological ideas in textual information. On the basis of (Thorleuchter (2008)) the existing theoretical algorithm is enlarged in consideration of text mining approaches like stemming, term frequency etc. (Ferber (2003)) and "creativity technique" approaches from literature (Dean et al. (2001)). The aim of the new algorithm is to find ideas by using a general stop word list, because up to now the existing approach is based on the inefficient usage of a (domain) specific stop word list specific created for the analyzed text. This new approach is evaluated with non-proprietary data and it is realized as web-based application, named "Technological Idea Miner" that can be used for further testing and evaluation. The presentation of the identified ideas will be displayed in consideration of cognitive research knowledge like described in (Puppe et al. (2003)).
