||The knowledge developed in one discipline may revolutionize the practice of another discipline. Furthermore, there is a growing tendency towards the fusion of existing technologies and the integration of applications that spread cross different technological areas. Therefore, a tool that can help to track application trend of cross discipline technologies should be valuable to technology officers in all enterprises. However, none of the research pays special attention to identify cross discipline technology application trend. To achieve the goal, the research adopted Cross-Collection Mixture Model (CCMM) originally developed for identifying concepts among collections of documents; three kinds of concepts are retrieved from collections of documents, namely, common, specific and background themes. The proposed method can also work with Chinese patent documents with which the word segmentation systems tend to append core technologies with other characters to form long words. The proposed method applies 2~3-gram to break the long words to find popular terms and applies the popular terms (technologies) to identify cross discipline technology application trend. To verify the effectiveness of the developed method, four categories of Chinese patent documents (IPC classification code: H04N, H04B, H04L, and G06Q) of the WEBPAT Taiwan were collected. The result shows that the proposed method indeed can track across discipline trendy technology and find 4 cross discipline application technologies terms. Furthermore, our method also can detect the emerging technology or technology opportunity which has great potential for new technology development. This is the unique contribution of this study.|
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