Sentiment based Analysis of Tweets during the US Presidential Elections

Ussama Yaqub; Vijayalakshmi Atluri; Soon Ae Chun; Jaideep Vaidya

doi:10.1145/3085228.3085285

Sentiment based Analysis of Tweets during the US Presidential Elections

Ussama Yaqub, Vijayalakshmi Atluri, Soon Ae Chun, Jaideep Vaidya

Rutgers Business School, Management & Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

35 Scopus citations

Abstract

In a relatively short period of time, social media has gained significant importance as a mass communication and public engagement tool for political and governance purposes. Rapid dissemination of information through social media platforms such as Twitter, provides politicians and campaigners with the ability to broadcast their message to a wide audience instantly and directly while bypassing the traditional media channels. In this paper, we investigate the nature and characteristics of the political discourse that took place on Twitter during the American Presidential elections of November 2016. The goal of this study is to perform exploratory sentiment based analysis of Twitter data that was gathered both before and after the Election Day. Our objective is to identify the nature and sentiment of discussions along with understanding the behavior of users with respect to their Twitter profile and associated attributes of their tweets. We also aim to inspect popular Twitter discussion topics and their relation with important news and events occurring simultaneously.

Original language	English (US)
Title of host publication	DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research
Subtitle of host publication	Innovations and Transformations in Government
Editors	Charles C. Hinnant, Adegboyega Ojo
Publisher	Association for Computing Machinery
Pages	1-10
Number of pages	10
ISBN (Electronic)	9781450353175
DOIs	https://doi.org/10.1145/3085228.3085285
State	Published - Jun 7 2017
Event	18th Annual International Conference on Digital Government Research, DG.O 2017 - Staten Island, United States Duration: Jun 7 2017 → Jun 9 2017

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F128275

Other

Other	18th Annual International Conference on Digital Government Research, DG.O 2017
Country/Territory	United States
City	Staten Island
Period	6/7/17 → 6/9/17

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Keywords

Behavior analysis
Elections
Sentiment analysis
Social media

Access to Document

10.1145/3085228.3085285

Cite this

Yaqub, U., Atluri, V., Chun, S. A., & Vaidya, J. (2017). Sentiment based Analysis of Tweets during the US Presidential Elections. In C. C. Hinnant, & A. Ojo (Eds.), DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government (pp. 1-10). (ACM International Conference Proceeding Series; Vol. Part F128275). Association for Computing Machinery. https://doi.org/10.1145/3085228.3085285

Yaqub, Ussama ; Atluri, Vijayalakshmi ; Chun, Soon Ae et al. / Sentiment based Analysis of Tweets during the US Presidential Elections. DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. editor / Charles C. Hinnant ; Adegboyega Ojo. Association for Computing Machinery, 2017. pp. 1-10 (ACM International Conference Proceeding Series).

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title = "Sentiment based Analysis of Tweets during the US Presidential Elections",

abstract = "In a relatively short period of time, social media has gained significant importance as a mass communication and public engagement tool for political and governance purposes. Rapid dissemination of information through social media platforms such as Twitter, provides politicians and campaigners with the ability to broadcast their message to a wide audience instantly and directly while bypassing the traditional media channels. In this paper, we investigate the nature and characteristics of the political discourse that took place on Twitter during the American Presidential elections of November 2016. The goal of this study is to perform exploratory sentiment based analysis of Twitter data that was gathered both before and after the Election Day. Our objective is to identify the nature and sentiment of discussions along with understanding the behavior of users with respect to their Twitter profile and associated attributes of their tweets. We also aim to inspect popular Twitter discussion topics and their relation with important news and events occurring simultaneously.",

keywords = "Behavior analysis, Elections, Sentiment analysis, Social media",

author = "Ussama Yaqub and Vijayalakshmi Atluri and Chun, {Soon Ae} and Jaideep Vaidya",

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doi = "10.1145/3085228.3085285",

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Yaqub, U, Atluri, V, Chun, SA & Vaidya, J 2017, Sentiment based Analysis of Tweets during the US Presidential Elections. in CC Hinnant & A Ojo (eds), DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. ACM International Conference Proceeding Series, vol. Part F128275, Association for Computing Machinery, pp. 1-10, 18th Annual International Conference on Digital Government Research, DG.O 2017, Staten Island, United States, 6/7/17. https://doi.org/10.1145/3085228.3085285

Sentiment based Analysis of Tweets during the US Presidential Elections. / Yaqub, Ussama; Atluri, Vijayalakshmi; Chun, Soon Ae et al.

DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. ed. / Charles C. Hinnant; Adegboyega Ojo. Association for Computing Machinery, 2017. p. 1-10 (ACM International Conference Proceeding Series; Vol. Part F128275).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - In a relatively short period of time, social media has gained significant importance as a mass communication and public engagement tool for political and governance purposes. Rapid dissemination of information through social media platforms such as Twitter, provides politicians and campaigners with the ability to broadcast their message to a wide audience instantly and directly while bypassing the traditional media channels. In this paper, we investigate the nature and characteristics of the political discourse that took place on Twitter during the American Presidential elections of November 2016. The goal of this study is to perform exploratory sentiment based analysis of Twitter data that was gathered both before and after the Election Day. Our objective is to identify the nature and sentiment of discussions along with understanding the behavior of users with respect to their Twitter profile and associated attributes of their tweets. We also aim to inspect popular Twitter discussion topics and their relation with important news and events occurring simultaneously.

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Yaqub U, Atluri V, Chun SA, Vaidya J. Sentiment based Analysis of Tweets during the US Presidential Elections. In Hinnant CC, Ojo A, editors, DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. Association for Computing Machinery. 2017. p. 1-10. (ACM International Conference Proceeding Series). doi: 10.1145/3085228.3085285

Sentiment based Analysis of Tweets during the US Presidential Elections

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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