Text-mining-based funding monitoring for science foundation: A case study of NSFC

Duan Qingfeng; Wang Xuefeng; Zhu Donghua

doi:10.1109/FITME.2010.5655818

Text-mining-based funding monitoring for science foundation: A case study of NSFC

Duan Qingfeng^*, Wang Xuefeng, Zhu Donghua

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A text-mining based approach of funding monitoring for science foundation was proposed, by identifying demands in the management of science foundation. Through computer visualizing algorithms and technologies of text mining, the valuable pattern was automatically found from numerous data related with funding facts, and represented as knowledge map, in purpose of supporting decision making of managers and experts. The general funding monitoring process and key technology were mainly illustrated, and then an empirical study about the International Academic Meeting in China (IAMC) of NSFC was demonstrated to verify its effectiveness.

Original language	English
Title of host publication	2010 International Conference on Future Information Technology and Management Engineering, FITME 2010
Pages	520-523
Number of pages	4
DOIs	https://doi.org/10.1109/FITME.2010.5655818
Publication status	Published - 2010
Event	2010 International Conference on Future Information Technology and Management Engineering, FITME 2010 - Changzhou, China Duration: 9 Oct 2010 → 10 Oct 2010

Publication series

Name	2010 International Conference on Future Information Technology and Management Engineering, FITME 2010
Volume	1

Conference

Conference	2010 International Conference on Future Information Technology and Management Engineering, FITME 2010
Country/Territory	China
City	Changzhou
Period	9/10/10 → 10/10/10

Keywords

Correlation analysis
Funding monitoring
Science foundation
Text mining

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10.1109/FITME.2010.5655818

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Qingfeng, D., Xuefeng, W., & Donghua, Z. (2010). Text-mining-based funding monitoring for science foundation: A case study of NSFC. In 2010 International Conference on Future Information Technology and Management Engineering, FITME 2010 (pp. 520-523). Article 5655818 (2010 International Conference on Future Information Technology and Management Engineering, FITME 2010; Vol. 1). https://doi.org/10.1109/FITME.2010.5655818

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title = "Text-mining-based funding monitoring for science foundation: A case study of NSFC",

abstract = "A text-mining based approach of funding monitoring for science foundation was proposed, by identifying demands in the management of science foundation. Through computer visualizing algorithms and technologies of text mining, the valuable pattern was automatically found from numerous data related with funding facts, and represented as knowledge map, in purpose of supporting decision making of managers and experts. The general funding monitoring process and key technology were mainly illustrated, and then an empirical study about the International Academic Meeting in China (IAMC) of NSFC was demonstrated to verify its effectiveness.",

keywords = "Correlation analysis, Funding monitoring, Science foundation, Text mining",

author = "Duan Qingfeng and Wang Xuefeng and Zhu Donghua",

year = "2010",

doi = "10.1109/FITME.2010.5655818",

language = "English",

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series = "2010 International Conference on Future Information Technology and Management Engineering, FITME 2010",

pages = "520--523",

booktitle = "2010 International Conference on Future Information Technology and Management Engineering, FITME 2010",

note = "2010 International Conference on Future Information Technology and Management Engineering, FITME 2010 ; Conference date: 09-10-2010 Through 10-10-2010",

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Qingfeng, D, Xuefeng, W & Donghua, Z 2010, Text-mining-based funding monitoring for science foundation: A case study of NSFC. in 2010 International Conference on Future Information Technology and Management Engineering, FITME 2010., 5655818, 2010 International Conference on Future Information Technology and Management Engineering, FITME 2010, vol. 1, pp. 520-523, 2010 International Conference on Future Information Technology and Management Engineering, FITME 2010, Changzhou, China, 9/10/10. https://doi.org/10.1109/FITME.2010.5655818

Text-mining-based funding monitoring for science foundation: A case study of NSFC. / Qingfeng, Duan; Xuefeng, Wang; Donghua, Zhu.
2010 International Conference on Future Information Technology and Management Engineering, FITME 2010. 2010. p. 520-523 5655818 (2010 International Conference on Future Information Technology and Management Engineering, FITME 2010; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Qingfeng, Duan

AU - Xuefeng, Wang

AU - Donghua, Zhu

PY - 2010

Y1 - 2010

N2 - A text-mining based approach of funding monitoring for science foundation was proposed, by identifying demands in the management of science foundation. Through computer visualizing algorithms and technologies of text mining, the valuable pattern was automatically found from numerous data related with funding facts, and represented as knowledge map, in purpose of supporting decision making of managers and experts. The general funding monitoring process and key technology were mainly illustrated, and then an empirical study about the International Academic Meeting in China (IAMC) of NSFC was demonstrated to verify its effectiveness.

AB - A text-mining based approach of funding monitoring for science foundation was proposed, by identifying demands in the management of science foundation. Through computer visualizing algorithms and technologies of text mining, the valuable pattern was automatically found from numerous data related with funding facts, and represented as knowledge map, in purpose of supporting decision making of managers and experts. The general funding monitoring process and key technology were mainly illustrated, and then an empirical study about the International Academic Meeting in China (IAMC) of NSFC was demonstrated to verify its effectiveness.

KW - Correlation analysis

KW - Funding monitoring

KW - Science foundation

KW - Text mining

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DO - 10.1109/FITME.2010.5655818

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SN - 9781424490882

T3 - 2010 International Conference on Future Information Technology and Management Engineering, FITME 2010

SP - 520

EP - 523

BT - 2010 International Conference on Future Information Technology and Management Engineering, FITME 2010

Y2 - 9 October 2010 through 10 October 2010

ER -

Qingfeng D, Xuefeng W, Donghua Z. Text-mining-based funding monitoring for science foundation: A case study of NSFC. In 2010 International Conference on Future Information Technology and Management Engineering, FITME 2010. 2010. p. 520-523. 5655818. (2010 International Conference on Future Information Technology and Management Engineering, FITME 2010). doi: 10.1109/FITME.2010.5655818

Text-mining-based funding monitoring for science foundation: A case study of NSFC

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