文章基本信息

标题：Finding Correlation between Content Based Features and the Popularity of a Celebrity on Twitter
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作者：Muhammad Asghar ; M. Faheem Mushtaq ; Hina Asmat 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：4
出版社：IJCSI Press
摘要：Popularity of a celebrity having twitter account is generally estimated by the number of twitter account holders following him on twitter. In this paper, we explore some content based features to evaluate their role for estimating the popularity of a celebrity. We try to find out the co-relation of celebrities popularity with number of other features like frequency of tweets posted by a celebrity and the relevancy of tweets to their domains. We take support of named entity recognition for later task. For the data collection, we collected about 60K tweets of 60 different celebrities with the help of API method provided by twitter. The current study aims to reveal many unseen patterns existing in celebrities twitter usage that includes computing per day tweet frequency and finding out how it correlates with number of followers. Also we find out the correlations of tweets with domains of the celebrities.
关键词：Short text messaging; mobile health;care; social networking; rural health