The Sentiment Analysis of EndSARS Protest in Nigeria

https://doi.org/10.48185/jaai.v3i2.560

Authors

  • Emeka Ogbuju Federal University Lokoja
  • Ikechukwu Mpama Monitoring and Evaluation, ACF, Initiative for Grassroots Advancement in Nigeria, Lokoja, 260101, Nigeria
  • Temitope Martha Oluwafemi Computer Science, Faculty of Science, Federal University, Lokoja, 260101, Nigeria
  • Fati Oiza Ochepa Computer Science, Faculty of Science, Federal University, Lokoja, 260101, Nigeria
  • Joshua Agbogun Department of Computer Science, Faculty of Science, Godfrey Okoye University, Enugu 400105, Nigeria
  • Victoria Yemi-Peters Computer Science, Faculty of Science, Federal University, Lokoja, 260101, Nigeria
  • Folusho O. Owoeye Department of Computer Science, Kogi State Polytechnic, Lokoja 26000, Nigeria
  • Mercy Idoko Kogi State University, Anyigba 272102, Nigeria
  • Bello Taoheed Guaranty Trust Bank Plc, Lokoja 260101, Nigeria

Keywords:

Digital Activism, Sentiment Analysis, Hashtag, Twitter, Tweet

Abstract

The extraction of public opinions from online communication platforms can serve several purposes in corporate institutions, state politics, and governance.  The analysis of these opinions may be useful for both immediate business decision making and professional planning. This analysis is becoming relevant in managing social movements and digital activism by applying computational technology. There is a need to deploy this opinion mining technology to the recent largest digital activism in Nigeria known as the #EndSARS movement. In this work, we proposed the EndSARS live analytics framework which holds a promising solution to social unrest and may serve as a panacea to curbing the menace of vandalism resulting from unresolved protest issues. Using a dataset of 12,357 tweets, we demonstrated that computational technology can be relevant to addressing online protests. The result of the analysis shows the eight basic emotions expressed during the protest and approaches the government may adopt to address future activisms.

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Published

2022-12-31

How to Cite

Ogbuju, E., Mpama, I. ., Oluwafemi, T. M. ., Ochepa, F. O. ., Agbogun, J. ., Yemi-Peters, V. ., Owoeye, F. O. ., Idoko, M. ., & Taoheed, B. . (2022). The Sentiment Analysis of EndSARS Protest in Nigeria. Journal of Applied Artificial Intelligence, 3(2), 13–23. https://doi.org/10.48185/jaai.v3i2.560

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Articles