Repository logo
 

Hashtag politics: a Twitter sentiment analysis of the 2015 Canadian federal election

dc.contributor.authorMullins, Amanda
dc.contributor.authorEpp, Adam
dc.date.accessioned2022-02-08
dc.date.accessioned2022-05-31T01:50:50Z
dc.date.available2022-05-31T01:50:50Z
dc.date.issued2020
dc.description.abstractWe developed a split plot design model for analysis of sentiment toward federal political parties on the social media platform Twitter in the weeks prior to the 2015 Canadian Federal Election. Data was collected from Twitter’s Application Programming Interface (API) via statistical program R. We scored the sentiment of each Twitter message referring to the parties and tested using ANOVA. Our results suggested that the Liberal Party and New Democratic Party had more positive sentiment than the Conservative Party. Actual seat wins coincide with our results for the Liberal Party (which won 148 new seats) and the Conservative Party (which lost 60 seats), but positive sentiment for the New Democratic Party did not correspond to seat wins.
dc.format.extent399.57KB
dc.format.mimetypePDF
dc.identifier.citationMullins, A., & Epp, A. (2020). Hashtag Politics: A Twitter Sentiment Analysis of the 2015 Canadian Federal Election. MacEwan University Student EJournal (MUSe), 4(1). https://doi.org/10.31542/muse.v4i1.877
dc.identifier.doihttps://doi.org/10.31542/muse.v4i1.877
dc.identifier.urihttps://hdl.handle.net/20.500.14078/2585
dc.languageEnglish
dc.language.isoen
dc.rightsAttribution-NonCommercial (CC BY-NC)
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectsplit plot design
dc.subjectconfidence interval
dc.subjectANOVA
dc.subjectsentiment analysis
dc.titleHashtag politics: a Twitter sentiment analysis of the 2015 Canadian federal electionen
dc.typeStudent Article

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Hashtag_politics:_a_Twitter_sentiment_analysis-_2020_roam.pdf
Size:
399.57 KB
Format:
Adobe Portable Document Format