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Data Analysis and Knowledge Discovery  2021, Vol. 5 Issue (5): 30-40    DOI: 10.11925/infotech.2096-3467.2020.1190
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Extracting China’s Economic Image from Western News
Xu Guang,Ren Ming(),Song Chengyu
School of Information Resource Management, Renmin University of China, Beijing 100872, China
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[Objective] This paper uses text mining techniques to extract China’s economic image from news published by western media. [Methods] First, we analyzed the representation of image by textual message based on the cognitive schema of human. Then, we extracted the image from topics, viewpoints and sentiment. Finally, we developed text mining process and methods to retrieve China’s image from Western reports. [Results] China’s economic image from news published by Western media covering Davos Forum was summarized as a developing country full of vitality, with great achievements, bringing opportunities and challenges to the world, and possibly affecting the world order. [Limitations] The human interpretation of LDA models inevitably leads to individual difference. [Conclusions] The proposed method could benefit research and practice on extracting image of a country, a region, or a city from news reports.

Key wordsText Mining      Economic Image      News      China      Davos Forum     
Received: 30 November 2020      Published: 08 March 2021
ZTFLH:  TP391  
Fund:The work is supported by the National Natural Science Foundation of China(71772177);The work is supported by the National Natural Science Foundation of China(72072177)
Corresponding Authors: Ren Ming     E-mail:

Cite this article:

Xu Guang,Ren Ming,Song Chengyu. Extracting China’s Economic Image from Western News. Data Analysis and Knowledge Discovery, 2021, 5(5): 30-40.

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Extraction Process of National Image Based on Text Mining
Viewpoint Extraction Based on Transformer
Extracting Sentiment Based on Bi-GRU
华尔街日报 纽约时报 卫报 金融时报 总计
347篇 491篇 205篇 897篇 1 940篇
Amount of News about China During Davos Forum (2005-2020)
编码层 解码层
参数 参数值 参数 参数值
heads 8 heads 8
hidden_size 512 hidden_size 768
layers 6 layers 6
dropout 0.2 dropout 0.2
Parameters of Viewpoint Extraction Model
参数 参数值 参数 参数值
max_sequence 512 batch_size 32
隐藏层个数 2 learning_rate 0.001
隐藏层的节点 256 dropout 0.25
全连接层的节点 512 训练周期 5
输出层节点 1
Parameters of Sentiment Extraction Model
China’s Economic Image in Western Media
Amount of News of 7 Topics (2005-2020)
Sentiment and Its Change in Theme Level
Amount of News About Sino-U.S. Relation
Sentiment and Its Change about Sino-U.S. Relation in Different Year
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