A survey on political event analysis in Twitter

Michalis Korakakis, E. Spyrou, Phivos Mylonas
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引用次数: 12

Abstract

This short survey paper attempts to provide an overview of the most recent research works on the popular politics domain within the framework of the Twitter social network. Given both the political turmoil that arouse at the end of 2016 and early 2017, and the increasing popularity of social networks in general, and Twitter, in particular, we feel that this topic forms an attractive candidate for fellow data mining researchers that came into sight over the last few months. Herein, we start by presenting a brief overview of our motivation and continue with basic information on the Twitter platform, which constitutes two clearly identifiable components, namely as an online news source and as one of the most popular social networking sites. Focus is then given to research works dealing with sentiment analysis in political topics and opinion polls, whereas we continue by reviewing the Twittersphere from the computational social science point of view, by including behavior analysis, social interaction and social influence identification methods and by discerning and discriminating its useful types within the social network, thus envisioning possible further utilization scenarios for the collected information. A short discussion on the identified conclusions and a couple of future research directions concludes the survey.
推特上的政治事件分析调查
这篇简短的调查论文试图对Twitter社交网络框架内流行政治领域的最新研究工作进行概述。考虑到2016年底和2017年初引发的政治动荡,以及社交网络(尤其是Twitter)的日益普及,我们觉得这个话题对过去几个月出现的数据挖掘研究人员来说是一个有吸引力的候选者。在这里,我们首先简要概述我们的动机,并继续介绍Twitter平台的基本信息,它构成了两个明确可识别的组成部分,即作为在线新闻来源和最受欢迎的社交网站之一。然后将重点放在处理政治话题和民意调查中的情绪分析的研究工作上,而我们继续从计算社会科学的角度审查twitter圈,包括行为分析,社会互动和社会影响识别方法,并通过识别和区分其在社交网络中的有用类型,从而设想可能进一步利用收集到的信息的场景。本文将对研究的结论和未来的研究方向进行简短的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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