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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 被引量:12

The Status and Suggestions of Library's WeChat Service from the Perspective of the Content of WeChat's Articles
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摘要 [目的/意义]从爬取的海量图书馆微信公众号推送文章出发,对微信推送文章的外部特征及高传播指数推文的文本内容进行了总结,以期能从微信公众号推文内容角度为国内图书馆提供参考与借鉴。[方法/过程]利用Python语言编写爬虫系统及各种计算脚本,将获取的58个图书馆的12446条推文作为数据样本,结合微信传播指数WCI、单篇推文传播指数WACI以及高频词共现网络,分析了我国图书馆微信公众号推文现状、内容及问题。[结果/结论]各图书馆应主动应对微信公众号推文中存在的问题,应着力从制定考核指标、需求挖掘、创造热点等方面让推文有价值、有趣味、有温度。 [ Purpose/Significance ] In this work, the external characteristics of massive WeChat's articles and text content of WeChat's ar- ticles with high Communication Index are summarized. From the perspective of WeChat content, this paper provides references for domes- tic libraries. [ Method/Process] The WeChat's 12446 articles of 58 libraries were collected via the crawler program based on Python lan- guage as the sample data. By running computing scripts for the sample data, WeChat's Articles Communication Index (WACI) and high frequency word co-occurrence network were obtained. Combined with WeChat Communication Index (WCI), the paper summarized the current situation of WeChat official account and analyzed the contents, problems of WeChat's articles. [ Result/Conclusion ] The result shows that libraries should proactively identify the problems of WeChat's articles and try to make them valuable, emotional, and interesting by establishing the assessment indicator, paying attention to the readers' needs and creating public concerns.
作者 王磊 吕鹏辉
出处 《情报杂志》 CSSCI 北大核心 2017年第9期202-206,F0003,191,共7页 Journal of Intelligence
关键词 图书馆 微信 数据爬取 文本挖掘 library WeChat data crawling text mining
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