Knowledge aggregation of the WeChat Official Accounts Platform based on tag clustering

Cheng, Zixuan; Zhang, Xiangxian; Lü, Heng; Shunli, Guo

doi:10.1007/s12652-021-03125-9

Cited by 2 publications

(3 citation statements)

References 28 publications

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“…Without comments and supplementary explanations, it can summarize the core ideas of the text since the WeChat platform does not specify the format of the information, and many texts do not have introductions or summaries. The automatic summarization of knowledge resources on the WeChat platform can effectively solve the contradiction between knowledge redundancy and the limited reading ability of users and provide users with high quality and integrated information [ 4 ] .…”

Section: Introductionmentioning

confidence: 99%

“…At present, the research on health information of WeChat official accounts platform mainly focuses on the influence of the WeChat platform on the rehabilitation of certain diseases [ 5 , 6 ], the sharing behavior of health information through WeChat [ 7 ], the promotion of WeChat platform on health information education [ 8 , 9 ], and knowledge service improvement method based on label aggregation [ 4 ]. Few studies on improving the information service of the WeChat platform by automatic text summarization.…”

Section: Introductionmentioning

confidence: 99%

“…e automatic summarization of knowledge resources on the WeChat platform can e ectively solve the contradiction between knowledge redundancy and the limited reading ability of users and provide users with high quality and integrated information [4] .…”

Section: Introductionmentioning

confidence: 99%

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[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

Cheng

Shunli

2022

Journal of Environmental and Public Health

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With the rapid development of we-media information dissemination, WeChat official accounts platform has become an important way for people to obtain health related knowledge. However, the platform information is redundant, miscellaneous, and overloaded. In order to meet the increasingly accurate and efficient knowledge service needs of users, reorganizing and aggregating document knowledge resources is effective. If we use the way of artificial recognition to filter information, it will inevitably cause huge labor and time cost, and the effect is very little in front of massive articles. This paper proposes a text summarization method for the WeChat platform based on improved TextRank that takes into account both user demands and sentence features during the summarization process. The data source crawled from the Sogou WeChat platform. The results show that the TextRank algorithm has obvious hints on the accuracy of text summarization extraction after fusing the Word2vec model. The improved TextRank method, integrating user demands and sentence features into the model, makes the results of text summarization closer to the theme of the article and more able to meet the user demand. According to the complexity of the algorithm, this method is not suitable for the automatic summarization of long or multiple documents.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

Cheng

Shunli

2022

Journal of Environmental and Public Health

Self Cite

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Atypical Wolf Warrior Strategy in China’s Digital Public Diplomacy during the Pandemic

Huang

ZHANG²

2023

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Wolf warrior diplomacy has become Beijing’s primary method for defending its core interests during the COVID-19 pandemic. China’s public diplomacy actors have used social media platforms to diffuse rumors and aggressive statements to promote its discursive power and reshape international order during the pandemic. Although existing studies on online wolf warrior diplomacy include China’s intermestic dimension and audiences, scholars have not examined the Chinese diaspora. Thus, we focused on how China used its domestic social media platform WeChat to conduct diaspora diplomacy during France’s first COVID-19 lockdown period to influence French and European Chinese-speaking populations. The aim was to underline how local pro-China media have used WeChat to defend Beijing’s interests and devalue the policies and COVID-19 measures of host countries.

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Knowledge aggregation of the WeChat Official Accounts Platform based on tag clustering

Cited by 2 publications

References 28 publications

[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

Atypical Wolf Warrior Strategy in China’s Digital Public Diplomacy during the Pandemic

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