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TRIZ trends describe the evolutionary status of a system by identifying the trend phases, and assist in predicting improvements by identifying evolutionary potential. This process encompasses analyzing and categorizing patents in known trend phases, relying on intrinsic skills of a TRIZ expert, and depicting the results on an evolutionary potential radar plot. To structure this approach, an algorithm is proposed that, through patent analysis and identification of word categories, extracts information concerning the product properties, which relate to trend phases. Allowing controlled and repeatable measurements of trends, this algorithm can support the problem specification and requirements gathering phases.

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