%A Chen Ting,Li Guopeng,Wang Xiaomei %T Visualizing Appropriation of Research Funding with t-SNE Algorithm %0 Journal Article %D 2018 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2018.0251 %P 1-9 %V 2 %N 8 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4534.shtml} %8 2018-08-25 %X

[Objective] This paper designs a visualization method for the appropriation of research funding, aiming to more effectively present the locations of funded projects. [Methods] First, we retrieved 4,669 funded projects from NSF’s Information and Intelligent System. Then, we added topic tags to these projects using clustering algorithm and human interpretation. Third, we extracted the high-dimensional text features for the application documents with TF-IDF model and LSA model. Fourth, we used the t-SNE algorithm to project high-dimensional features into two or three-dimensional spaces for visualization. Finally, we examined the visualization results with pre-classified topic labels. [Results] The proposed method created maps of funded projects, in both two-dimensional or three-dimensional spaces. [Limitations] The algorithm parameters need to be adjusted manually. More research is needed to evaluate the proposed method with documents of projects funded by other agencies. [Conclusions] The proposed method could generate maps for the funded projects, which is a helpful tool for scientific management.