Predicting Election Results with Machine Learning—A Review-Reference-Cited by-同舟云学术

Predicting Election Results with Machine Learning—A Review

Published:2023-09-01 Issue: Volume: Page:989-1001
ISSN:2367-3370
Container-title:Proceedings of Eighth International Congress on Information and Communication Technology
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Author:

Argandoña-Mamani Alexander^ORCID,Ormeño-Alarcón Terry^ORCID,Iparraguirre-Villanueva Orlando^ORCID,Paulino-Moreno Cleoge^ORCID,Cabanillas-Carbonell Michael^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-3043-2_82

Reference67 articles.

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2. Rodríguez S et al (2018) Forecasting the Chilean electoral year: using twitter to predict the presidential elections of 2017. In: Social computing and social media. Technologies and analytics. (SCSM 2018). Lecture notes in computer science, vol 10914. Springer, Cham, pp 298–314. https://doi.org/10.1007/978-3-319-91485-5_23

3. Bilbao-Jayo A, Almeida A (2021) Improving political discourse analysis on twitter with context analysis. IEEE Access 9:104846–104863. https://doi.org/10.1109/ACCESS.2021.3099093

4. Ali H, Farman H, Yar H, Khan Z, Habib S, Ammar A (2022) Deep learning-based election results prediction using Twitter activity. Soft comput 26(16):7535–7543. https://doi.org/10.1007/S00500-021-06569-5

5. Stromer-Galley J, Rossini P, Hemsley J, Bolden SE, McKernan B (2021) Political messaging over time: a comparison of US presidential candidate facebook posts and tweets in 2016 and 2020. In: Social media+Society 7(4):1–13. https://doi.org/10.1177/20563051211063465