The 2015 Canadian Election on Twitter: A Tidy Algorithmic Analysis
PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI)(2017)
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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