A wide variety of social media platforms have become integral to contemporary forms of social engagement, including mass protests. Twitter is considered specifically indicative of public attitudes in this regard. This study attempts to examine the feasibility of using Twitter sentiment analysis to predict the 2014 revolution in Ukraine. Tweets representing public opinion are clustered by means of the ‘StreamKM++’ algorithm into three classes (likely, neutral and unlikely). The resulting prediction model for the three classes (using Naïve Bayes) was 96.75 per cent. As such, this study offers a promising way to perform an online prediction of social movements.

中文翻译：

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社交媒体会带来革命吗？使用 Twitter 情绪分析来预测乌克兰的 Maidan 革命

各种各样的社交媒体平台已成为当代社会参与形式（包括大规模抗议）不可或缺的一部分。Twitter 被认为是特别表明公众在这方面的态度。本研究试图检验使用 Twitter 情绪分析来预测 2014 年乌克兰革命的可行性。代表公众意见的推文通过“StreamKM++”算法分为三类（可能的、中立的和不太可能的）。三个类别的结果预测模型（使用朴素贝叶斯）为 96.75%。因此，这项研究提供了一种对社会运动进行在线预测的有前途的方法。