推特为教育工作人员画像

Herlawati Herlawati, Rahmadya Trias Handayanto, Inna Ekawati, K. Meutia, J. Asian, Umar Aditiawarman
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引用次数: 1

摘要

社交媒体(Facebook, Instagram, Twitter等)已经被广泛使用。它们有很多优势,尤其是对商业而言。然而,这种媒体有时会带来负面影响,例如降低员工绩效,关系冲突,犯罪等。因此,本研究提出了一种方法来废弃一个社交媒体,即Twitter进行分析。Gephi应用程序用于使用Twecoll(一个基于python的回收应用程序)回收网络后的网络分析。还创建了一个基于web的应用程序,包括基于apache的服务器和基于python的脚本。结果表明,废弃帐户包含多个组/社区,包括每个连接的权重。此外,该结果可用于群组分析和其他分析,以完成基于tweet的情感分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Twitter Scrapping for Profiling Education Staff
Social media (Facebook, Instagram, Twitter, etc.) have been widely used. They have many advantages, especially for business. However, such media sometimes invite negative effects, e.g. decreasing employee performance, conflict in a relationship, crime, etc. Therefore, this study proposes a method to scrap one of the social media, i.e. Twitter for profiling. Gephi application is used for network analysis after scrapping the network using Twecoll, a Python-based scrapping application. A web-based application is also created including the Apache-based server and Python-based script. The result shows that the scrapped account has several groups/communities including the weight of each connection. In addition, the result can be used for group profiling and additional analysis to complete the sentiment analysis based on tweets.
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