基于DTM模型和文本特征分析的基金项目新兴趋势探测研究* ——以NSF石墨烯领域为例
徐路路, 王效岳, 白如江, 周彦廷

Detecting Emerging Trends of Funds Based on DTM Model and Text Analytics: Case Study of NSF Graphene Field
Xu Lulu,Wang Xiaoyue,Bai Rujiang,Zhou Yanting
表7 ETDt计算结果
主题 2008 2009 2010 2011 2012 2013 2014 2015 2016
Topic0 -0.46319 -0.61416 -0.29833 -0.3394 0.06515 0.03358 0.94675 0.30842
Topic1 -0.32022 -0.18181 -0.34176 0.2081 0.04723 0.07071 0.44242 0.04176 0.50498
Topic2 0.121281 -0.18181 -0.19852 -0.3007 -0.189 0.07071 -0.03493 0.18292 -0.41304
Topic3 -0.08365 -0.02078 0.07071 0.03358 0.8453 0.2189
Topic4 -0.34176 -0.21225 -0.15182 -0.09671 -0.02078 -0.05205 -0.18016
Topic5 -0.32022 1.7942 0.4079 -0.08622 -0.3467 -0.15182 0.44242 -0.02975 -0.04723
Topic6 0.37351 1.7942 0.20131 0.30842 -0.24983 -0.15182 -0.28952 -0.2448 -0.32582
Topic7 -0.08365 -0.3467 -0.29603 0.03358 0.49377 0.2081
Topic8 0.37351 1.7942 0.20131 0.30842 0.8453 1.76703 0.50794 0.04176 1.19012
Topic9 0.12128 0.11612 0.20131 0.2081 0.91882 -0.15182 -0.28952 -0.2448 -0.45186