Abstract
The sentiment tendency analysis on news reports serves as a tool to study the main stream attitude towards a hot event. With the China’s going-out strategy processing, we can effectively avoid the potential risks in the help of the in-depth study and interpretation of China’s relevant policy in a certain country and region and the understanding of the local public opinion and the conditions of the people. We can not use the existing mature tools which use Chinese and English as the research object, so the sentiment tendency analysis to German of which relevant work is relatively absent need to be solved. On the basis of completing the basic work of German sentiment dictionary, degree adverb dictionary, negative word dictionary and stop word dictionary, this paper puts forward a set of calculating methods aiming at the sentiment tendencies in German, which is applied to the calculation of the sentiment tendencies related to NPC_CPPCC event in one of the most mainstream media in Germany, and the results of the calculation will be interpreted and analyzed.
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Acknowledgment
This work was supported in part by the Social Science Foundation of Beijing (No. 15SHA002), and the First-class Disciplines Construction Foundation of Beijing Foreign Studies University (No. YY19SSK02).
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Liang, Y., Xu, L., Huang, T. (2019). Sentiment Tendency Analysis of NPC&CPPCC in German News. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_30
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DOI: https://doi.org/10.1007/978-3-030-30952-7_30
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