TY - GEN
T1 - Differential Topic Selections and Wording Behaviors Among Funded Environmental Projects with Stakeholders
AU - Yao, Zhongyu
AU - Zhang, He
AU - Chen, Tianhang
AU - Wang, Yuchen
AU - Xie, Weidun
AU - Wong, Ka-Chun
PY - 2024
Y1 - 2024
N2 - Environmental research often attracts significant public attention for its relevance to society sustainability. Enor-mous resources (including research funding) have been allocated to the development of environmental research in the past years. To assess its effectiveness and relevance to stakeholders, we have conducted a data science study on the research projects funded by Environment and Conservation Fund (ECF) more than ten years. The results indicate that there are preferred project topics and researchers. In addition, sentiment analysis reveals the subtle ECF research project writing strategy trends which reflect the pragmatic aspects of topic selections and wording behaviors. Comparing to the stakeholders (i.e. government, mass media, and non-government organization), we observe interesting insights into the topic and wording differences among the relevant parties in a differential manner. © 2024 IEEE.
AB - Environmental research often attracts significant public attention for its relevance to society sustainability. Enor-mous resources (including research funding) have been allocated to the development of environmental research in the past years. To assess its effectiveness and relevance to stakeholders, we have conducted a data science study on the research projects funded by Environment and Conservation Fund (ECF) more than ten years. The results indicate that there are preferred project topics and researchers. In addition, sentiment analysis reveals the subtle ECF research project writing strategy trends which reflect the pragmatic aspects of topic selections and wording behaviors. Comparing to the stakeholders (i.e. government, mass media, and non-government organization), we observe interesting insights into the topic and wording differences among the relevant parties in a differential manner. © 2024 IEEE.
UR - https://www.scopus.com/pages/publications/85215083229
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85215083229&origin=recordpage
U2 - 10.1109/AIxSET62544.2024.00023
DO - 10.1109/AIxSET62544.2024.00023
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 979-8-3503-9100-8
T3 - Proceedings - Conference on AI, Science, Engineering, and Technology, AIxSET
SP - 123
EP - 128
BT - Proceedings - 2024 Conference on AI, Science, Engineering, and Technology, AIxSET 2024
PB - IEEE
T2 - 1st International Conference on Artificial Intelligence x Science, Engineering, and Technology (AIxSET 2024)
Y2 - 30 September 2024 through 2 October 2024
ER -