Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research
AbstractThe research goal of this paper is to identify major academic branches and to detect research trends in design research using text mining techniques. In this paper, the information about scientific literature in design research isprocessed. A combination of clustering and bibliometric analysis led to shaping four academic branches and summarizing each academic branch. Then, research trends and the evolution for each academic branch are explored. We perform a two-dimensional text mining approach, including bibliometric and network analysis, in order to detect trends of major academic branches. Specifically, the bibliometric characterization aims to assess design research area outputs, while the network analysis intends to reveal research trends in each academic branch of design research and the evolution of core research themes. View Full-Text
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Nie, B.; Sun, S. Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research. Appl. Sci. 2017, 7, 401.
Nie B, Sun S. Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research. Applied Sciences. 2017; 7(4):401.Chicago/Turabian Style
Nie, Binling; Sun, Shouqian. 2017. "Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research." Appl. Sci. 7, no. 4: 401.
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