[Article] The 2015 Canadian Election on Twitter: A Tidy Algorithmic Analysis

Research Article_s NLP

Appendix containing the robustness checks.

William Sanger https://www.cirano.qc.ca/en/community/directory/view/2109 (CIRANO and Polytechnique Montreal)https://www.cirano.qc.ca , Thierry Warin https://warin.ca/aboutme.html (HEC Montréal and CIRANO (Canada))https://www.hec.ca/en/profs/thierry.warin.html
12-16-2017

Abstract

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).

Keywords: Social Media Analysis, Elections, LDA, Social Data Science,Canada


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Citation

For attribution, please cite this work as

Sanger & Warin, "Thierry Warin, PhD: [Article] The 2015 Canadian Election on Twitter: A Tidy Algorithmic Analysis", IEEE Xplore, 2017

BibTeX citation

@article{sanger2019NigeriaElection,
  author = {Sanger, William and Warin, Thierry},
  title = {Thierry Warin, PhD: [Article] The 2015 Canadian Election on Twitter: A Tidy Algorithmic Analysis},
  journal = {IEEE Xplore},
  year = {2017},
  note = {https://warin.ca/posts/canadian-election-on-twitter/},
  doi = {10.1109/CSCI.2017.158}
}