Tsakalidis, Adam and Papadopoulos, S. and Cristea, A. I. and Kompatsiaris, Yiannis (2015) 'Predicting elections for multiple countries using Twitter and polls.', IEEE intelligent systems., 30 (2). pp. 10-17.
The authors' work focuses on predicting the 2014 European Union elections in three different countries using Twitter and polls. Past works in this domain relying strictly on Twitter data have been proven ineffective. Others, using polls as their ground truth, have raised questions regarding the contribution of Twitter data for this task. Here, the authors treat this task as a multivariate time-series forecast, extracting Twitter- and poll-based features and training different predictive algorithms. They've achieved better results than several past works and the commercial baseline.
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||http://dx.doi.org/10.1109/MIS.2015.17|
|Publisher statement:||© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Date accepted:||05 January 2015|
|Date deposited:||31 July 2018|
|Date of first online publication:||26 January 2015|
|Date first made open access:||No date available|
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