Impact of Sentiment Analysis for the 2020 U.S. Presidential Election on Social Media Data-Reference-Cited by-同舟云学术

Impact of Sentiment Analysis for the 2020 U.S. Presidential Election on Social Media Data

Published:2023-03-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 8th International Conference on Machine Learning Technologies
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Author:

Qorib Miftahul¹^ORCID,Gizaw Rahel S¹^ORCID,Kim Junwhan¹^ORCID

Affiliation:

1. Department of Computer Science and Information Technology, University of the District of Columbia, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589883.3589888

Reference24 articles.

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2. The emergence of social media data and sentiment analysis in election prediction

3. Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences

4. A. Bermingham and A. Smeaton , " On using Twitter to monitor political sentiment and predict election results.," in Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011 ), 2011. A. Bermingham and A. Smeaton, "On using Twitter to monitor political sentiment and predict election results.," in Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011), 2011.

5. E. T. Sang and J. Bos , " Predicting the 2011 Dutch senate election results with Twitter.," in Proceedings of the workshop on semantic analysis in social media , 2012 . E. T. Sang and J. Bos, "Predicting the 2011 Dutch senate election results with Twitter.," in Proceedings of the workshop on semantic analysis in social media, 2012.