An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments

Sultan Alshamrani; Ahmed Abusnaina; Mohammed Abuhamad; Anho Lee; Dae Hun Nyang; David Mohaisen

doi:10.1007/978-3-030-66046-8_7

An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments

Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Anho Lee, Dae Hun Nyang, David Mohaisen

Loyola University Chicago

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

Original language	English
Title of host publication	Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Proceedings
Editors	Sriram Chellappan, Kim-Kwang Raymond Choo, NhatHai Phan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	73-86
Number of pages	14
ISBN (Print)	9783030660451
DOIs	https://doi.org/10.1007/978-3-030-66046-8_7
State	Published - 2020
Event	9th International Conference on Computational Data and Social Networks, CSoNet 2020 - Dallas, United States Duration: Dec 11 2020 → Dec 13 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12575 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Computational Data and Social Networks, CSoNet 2020
Country/Territory	United States
City	Dallas
Period	12/11/20 → 12/13/20

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Coronavirus
COVID-19
NLP
Sentiment analysis
Topic modeling

Access to Document

10.1007/978-3-030-66046-8_7

Cite this

Alshamrani, S., Abusnaina, A., Abuhamad, M., Lee, A., Nyang, D. H., & Mohaisen, D. (2020). An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. In S. Chellappan, K.-K. R. Choo, & N. Phan (Eds.), Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Proceedings (pp. 73-86). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12575 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-66046-8_7

An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. / Alshamrani, Sultan; Abusnaina, Ahmed; Abuhamad, Mohammed et al.
Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Proceedings. ed. / Sriram Chellappan; Kim-Kwang Raymond Choo; NhatHai Phan. Springer Science and Business Media Deutschland GmbH, 2020. p. 73-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12575 LNCS).

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

Alshamrani, S, Abusnaina, A, Abuhamad, M, Lee, A, Nyang, DH & Mohaisen, D 2020, An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. in S Chellappan, K-KR Choo & N Phan (eds), Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12575 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 73-86, 9th International Conference on Computational Data and Social Networks, CSoNet 2020, Dallas, United States, 12/11/20. https://doi.org/10.1007/978-3-030-66046-8_7

Alshamrani S, Abusnaina A, Abuhamad M, Lee A, Nyang DH, Mohaisen D. An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. In Chellappan S, Choo KKR, Phan N, editors, Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 73-86. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-66046-8_7

Alshamrani, Sultan ; Abusnaina, Ahmed ; Abuhamad, Mohammed et al. / An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic : Topical Trends and Sentiments. Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Proceedings. editor / Sriram Chellappan ; Kim-Kwang Raymond Choo ; NhatHai Phan. Springer Science and Business Media Deutschland GmbH, 2020. pp. 73-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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