This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique called sentiment analysis (SA). To do this, a set of 7430 tweets bearing or related to #AnambraDecides2017 was streamed during the November 18, 2017, Anambra State gubernatorial election. These are Twitter discussions on the top five political parties and their candidates termed political actors in this paper. We conduct polarity and subjectivity sentiment analyses on all the tweets considering time as a useful dimension of SA. Furthermore, we use the word frequency to find words most associated with the political actors in a given time. We find most talked about topics using a topic modeling algorithm and how the computed sentiments and most frequent words are related to the topics per political actor. Among other things, we deduced from the experimental results that even though a political party serves as a platform that sales the personality of a candidate, the acceptance of the candidate/party adds to the winning of an election. For example, we found the winner of the election Willie Obiano benefiting from the values his party share among the people of the State. Associating his name with his party, All Progressive Grand Alliance (APGA) displays more positive sentiments and the subjective sentiment analysis indicates that Twitter users mentioning APGA are less emotionally subjective in their tweets than the other parties.

中文翻译：

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使用#AnambraDecides2017 推文从情绪分析角度分析政党/候选人对选举结果的影响

This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique called sentiment analysis (SA). 为此，在 2017 年 11 月 18 日阿南布拉州州长选举期间发布了一组 7430 条与#AnambraDecides2017 相关或相关的推文。这些是 Twitter 上关于前五个政党及其候选人在本文中称为政治演员的讨论。我们将时间作为 SA 的一个有用维度，对所有推文进行极性和主观情感分析。此外，我们使用词频来查找在给定时间内与政治参与者最相关的词。我们使用主题建模算法找到最受关注的主题，以及计算出的情绪和最常用的词如何与每个政治演员的主题相关。除此之外，我们从实验结果中推断出，即使政党是一个出售候选人个性的平台，但候选人/政党的接受会增加选举的胜利。例如，我们发现选举的获胜者威利·奥比亚诺 (Willie Obiano) 受益于他所在政党在该州人民中所共有的价值观。将他的名字与他的政党联系起来，All Progressive Grand Alliance (APGA) 表现出更多的积极情绪，主观情绪分析表明，Twitter 用户在推文中提到 APGA 的情绪主观性低于其他政党。我们从实验结果中推断出，即使政党是一个出售候选人个性的平台，候选人/政党的接受也会增加选举的胜利。例如，我们发现选举的获胜者威利·奥比亚诺 (Willie Obiano) 受益于他所在政党在该州人民中所共有的价值观。将他的名字与他的政党联系起来，All Progressive Grand Alliance (APGA) 表现出更多的积极情绪，主观情绪分析表明，Twitter 用户在推文中提到 APGA 的情绪主观性低于其他政党。我们从实验结果中推断出，即使政党是一个出售候选人个性的平台，候选人/政党的接受也会增加选举的胜利。例如，我们发现选举的获胜者威利·奥比亚诺 (Willie Obiano) 受益于他所在政党在该州人民中所共有的价值观。将他的名字与他的政党联系起来，All Progressive Grand Alliance (APGA) 表现出更多的积极情绪，主观情绪分析表明，Twitter 用户在推文中提到 APGA 的情绪主观性低于其他政党。我们发现选举的获胜者 Willie Obiano 受益于他的政党在该州人民中所分享的价值观。将他的名字与他的政党联系起来，All Progressive Grand Alliance (APGA) 表现出更多的积极情绪，主观情绪分析表明，Twitter 用户在推文中提到 APGA 的情绪主观性低于其他政党。我们发现选举的获胜者 Willie Obiano 受益于他的政党在该州人民中所分享的价值观。将他的名字与他的政党联系起来，All Progressive Grand Alliance (APGA) 表现出更多的积极情绪，主观情绪分析表明，Twitter 用户在推文中提到 APGA 的情绪主观性低于其他政党。