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CommuniMents

Published:2021 Issue: Volume: Page:382-404
ISSN:
Container-title:Research Anthology on Strategies for Using Social Media as a Service and Tool in Business
language:
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Author:

Jarwar Muhammad Aslam¹,Abbasi Rabeeh Ayaz²,Mushtaq Mubashar³,Maqbool Onaiza⁴,Aljohani Naif R.⁵,Daud Ali⁶,Alowibdi Jalal S.⁷,Cano J.R.⁸,García S.⁹,Chong Ilyoung¹⁰

Affiliation:

1. Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan & Department of Information and Communications Engineering, Hankuk University of Foreign Studies (HUFS), Seoul, South Korea

2. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia & Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan

3. Department of Computer Science, Forman Christian College (A Chartered University), Lahore, Pakistan & Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan

4. Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan

5. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

6. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia & Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan

7. Faculty of Computing and Information Technology, University of Jeddah, Jeddah, Saudi Arabia

8. Department of Computer Science, University of Jaén, Jaén, Spain

9. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

10. Department of Information and Communications Engineering, Hankuk University of Foreign Studies (HUFS), Seoul, South Korea

Abstract

Social media has revolutionized human communication and styles of interaction. Due to its effectiveness and ease, people have started using it increasingly to share and exchange information, carry out discussions on various events, and express their opinions. Various communities may have diverse sentiments about events and it is an interesting research problem to understand the sentiments of a particular community for a specific event. In this article, the authors propose a framework CommuniMents which enables us to identify the members of a community and measure the sentiments of the community for a particular event. CommuniMents uses automated snowball sampling to identify the members of a community, then fetches their published contents (specifically tweets), pre-processes the contents and measures the sentiments of the community. The authors perform qualitative and quantitative evaluation for a variety of real world events to validate the effectiveness of the proposed framework.

Publisher

IGI Global

Reference47 articles.

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2. Deception detection in Twitter

3. A hybrid approach to the sentiment analysis problem at the sentence level

4. A Survey of Techniques for Event Detection in Twitter

5. Opinion Mining and Information Fusion: A survey