Opinion Mining in Social Networks versus Electoral Polls
Javi Fernández, Fernando Llopis, Yoan Gutiérrez, Patricio Martínez-Barco, Álvaro Díez
Abstract
The recent failures of traditional poll models, like the predictions in United Kingdom with the Brexit, or in United States presidential elections with the victory of Donald Trump, have been noteworthy. With the decline of traditional poll models and the growth of the social networks, automatic tools are gaining popularity to make predictions in this context. In this paper we present our approximation and compare it with a real case: the 2017 French presidential election.- Anthology ID:
- R17-1032
- Volume:
- Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
- Month:
- September
- Year:
- 2017
- Address:
- Varna, Bulgaria
- Editors:
- Ruslan Mitkov, Galia Angelova
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 231–237
- Language:
- URL:
- https://doi.org/10.26615/978-954-452-049-6_032
- DOI:
- 10.26615/978-954-452-049-6_032
- Cite (ACL):
- Javi Fernández, Fernando Llopis, Yoan Gutiérrez, Patricio Martínez-Barco, and Álvaro Díez. 2017. Opinion Mining in Social Networks versus Electoral Polls. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 231–237, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Opinion Mining in Social Networks versus Electoral Polls (Fernández et al., RANLP 2017)
- PDF:
- https://doi.org/10.26615/978-954-452-049-6_032