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Analysis of the trend of global power sources based on comment emotion mining

Shengxiang Zhang Chao Shi Xin Jiang Ying Zhang Lu Zhang

全球能源互联网（英文）2020，Vol.3Issue(3)：283-291,9.

Analysis of the trend of global power sources based on comment emotion mining

Shengxiang Zhang ¹Chao Shi ¹Xin Jiang ²Ying Zhang ³Lu Zhang⁴

作者信息

1. Global Energy Interconnection Development and Cooperation Organization, No. 8 Xuanwumennei Street, Beijing 100031, P.R. China
2. POWERCHINA Changchun Electric Power Engineering Co., Ltd. Changchun City, Jilin Province,130062, P.R. China
3. Nanrui Group Co., Ltd., Chenxin Street, Nanjing, Jiangsu Province, 210003, P.R. China
4. Aktins, The Axis,10 Holliday Street, Birmingham, B11TF, United Kingdom
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摘要

关键词

Global energy and power trend/Topic classification/Text emotion analysis/CNN/LSTM

Key words

Global energy and power trend/Topic classification/Text emotion analysis/CNN/LSTM

引用本文复制引用

Shengxiang Zhang,Chao Shi,Xin Jiang,Ying Zhang,Lu Zhang..Analysis of the trend of global power sources based on comment emotion mining[J].全球能源互联网（英文）,2020,3(3):283-291,9.

基金项目

This article is funded by the technical project of Global Energy Internet Group Co., Ltd.: Research on Global Energy Internet Big Data Collection and Analysis Modeling and the National Key Research and Development Plan of China under Grant (2018YFB0905000). （2018YFB0905000）

全球能源互联网（英文）

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ISSN：2096-5117

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