Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research
Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research
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DOI：
10.3390/app7040401
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
Binling Nie;Shouqian Sun
中科院分区：
文献类型：
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作者：
Binling Nie;Shouqian Sun
本文的研究目标是使用文本挖掘技术确定主要学术分支并检测设计研究的研究趋势。本文对设计研究中的科学文献信息进行了处理。聚类和文献计量分析相结合，形成了四个学术分支，并对每个学术分支进行了总结。然后，探讨了每个学术分支的研究趋势和演变。我们采用二维文本挖掘方法，包括文献计量和网络分析，以发现主要学术分支的趋势。具体而言，文献计量表征旨在评估设计研究领域的产出，而网络分析旨在揭示设计研究各个学术分支的研究趋势以及核心研究主题的演变。
The 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.