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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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Abstract [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.
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Received: 30 November 2020
Published: 08 March 2021
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| 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) |
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Corresponding Authors:
Ren Ming
E-mail: renm@ruc.edu.cn
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