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Research on the Dissemination Characteristics of the Text Content of WeChat Official Accounts Based on Text Mining—Taking the WeChat Public Account of “Beijing Agriculture” as an Example

DOI: 10.12677/HJDM.2023.134028, PP. 279-287

Keywords: 微信公众号,文本挖掘,文本内容,传播特征,WeChat Subscription Accounts, Text Mining, Text Content, Transmission Characteristics

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Purpose/Meaning: Starting from the crawled Beijing Agricultural WeChat official account push articles, the external characteristics and dissemination characteristics of WeChat articles are analyzed, in order to provide reference for the dissemination of agricultural knowledge from the perspective of the content of the WeChat official account tweets. Method/Process: Using Python language to write crawler system and various calculation scripts, 5103 tweets obtained as data samples, combined with text clustering, LDA topic model and high-frequency word co-occurrence network, analyzed the public of Beijing Agricultural WeChat Status of Tweet No. and the characteristics of con-tent dissemination. Results/Conclusions: The Beijing Agricultural WeChat official account should be more comprehensive in the content organization of agricultural knowledge dissemination. Based on the in-depth analysis of the characteristics of dissemination, efforts should be made to make tweets more popular in terms of demand mining and creation of hot spots.


[1]  潘伟. 基于文本挖掘技术的微信公众号关系网络研究[D]: [硕士学位论文]. 南京: 东南大学, 2018.
[2]  周易军. 论微信公众平台的统计功能对企业微信营销的意义[J]. 视听, 2015(1): 117-119.
[3]  何镕飞. 基于文本挖掘的微信公众号文本内容传播效果研究[D]: [硕士学位论文]. 太原: 山西大学, 2017.
[4]  陈乐遥, 洪磊, 陈杨, 等. 基于文本挖掘的公安院校公众号主题类型挖掘研究[J]. 计算机时代, 2020(8): 6-9.
[5]  王磊, 吕鹏辉. 基于微信推文内容视域下图书馆微信服务现状研究及建议[J]. 情报杂志, 2017, 36(9): 202- 207+191.


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