A new energy policy text classification and recognition model based on convolutional neural networks
Author:
Affiliation:
1. State Grid Xinjiang Electric Power Co. Ltd,Development Planning Department,Xinjiang,China
2. State Grid New Energy Cloud Technology Co.Ltd,Beijing,China
3. North China Electric Power University,Department of Economics and Management,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9783222/9783223/09783225.pdf?arnumber=9783225
Reference18 articles.
1. The networking dynamics of the Italian biofuel industry in time of crisis: Finding an effective instrument mix for fostering a sustainable energy transition
2. Identification versus misspecification in New Keynesian monetary policy models
3. Diagnosing the role of the state for local collective action: Types of action situations and policy instruments
4. The co-evolution of policy mixes and socio-technical systems: Towards a conceptual framework of policy mix feedback in sustainability transitions
5. Text as big data: Develop codes of practice for rigorous computational text analysis in energy social science
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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