Translation of news reports related to COVID-19 of Japanese Linguistics based on page link mining | Zendy

Xiaohua Liu | Zendy

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Translation of news reports related to COVID-19 of Japanese Linguistics based on page link mining

Author(s) -

Xiaohua Liu

Publication year - 2020

Publication title -

journal of intelligent and fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.331

H-Index - 57

eISSN - 1875-8967

pISSN - 1064-1246

DOI - 10.3233/jifs-189296

Subject(s) - cluster analysis , computer science , web page , similarity (geometry) , document clustering , translation (biology) , information retrieval , artificial intelligence , world wide web , image (mathematics) , biochemistry , chemistry , messenger rna , gene

In the face of the current epidemic situation, news reports are facing the problem of higher accuracy The speed and accuracy of public emergency news depends on the accuracy of web page links and tags clustering An improved web page clustering method based on the combination of topic clustering and structure clustering is proposed in this paper The algorithm takes the result of web page structure clustering as the weight factor Combined with the web content clustering by K-means algorithm, the basic content that meets the conditions is selected Through the improved translator of clustering algorithm, it is translated into Chinese and compared with the target content to analyze the similarity It realized the translation aim of new crown virus epidemic related news report of Japanese Linguistics based on page link mining © 2020 - IOS Press and the authors All rights reserved

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