The 2015 Canadian Election on Twitter: A Tidy Algorithmic Analysis

PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI)(2017)

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摘要
During the 2015 General Election in Canada, the Liberal Party of Canada was elected to form a majority government, despite being third at the start of the electoral campaign. How was perceived the incumbent party and its rivals during the election? By using a tidy approach of a massive dataset collected on Twitter (3.5 millions tweets), we developed two methodologies to characterize how politicians were perceived on social media during the election. First, a sentiment analysis was performed regarding each political leader, then by using the whole dataset, different topics of the election were associated to each leader through a Latent Dirichlet Allocation (LDA).
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关键词
Social Media Analysis, Elections, LDA, Social Data Science, Canada
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