@twitter analysis of #edmedia10– is the #informationstream usable for the #mass
作者： Thomas Altmann , Selver Softic , Martin Ebner
关键词: Microblogging 、 World Wide Web 、 Keyword extraction 、 Social media 、 Work (electrical) 、 USable 、 Linked data 、 Computer science
摘要: In this paper we report the use of an application that enables automatic analyses social media content. early stage development our work focuses on data from Twitter1 as currently to be most popular and fastest growing microblogging platform. After introduction about a general concept conference tweets big e-learning are examined. It is aimed show whether there possibility get significant information pool postings or not. The publication concludes keyword extraction can taken basis for further investigations treatment data.
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sci-hub.st 参考文章(14)
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