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Social Media and Sentimental Analysis: CBN Currency Redesign Policy

Track:
PyData: Machine Learning, Stats
Type:
Poster
Level:
beginner
Room:
Exhibit Hall
Start:
13:00 on 12 July 2024
Duration:
60 minutes

Abstract

The identification and measurement of an online audience through the social media platform capitalise on the tonality of emotions on the social media presence. The use of social media has become an unavoidable instrument in various sectors including currency redesign. On October 20, the most populous country and acclaimed Africa’s largest economy, Nigeria announced the plans to redesign 200, 500 and 1000 banknotes in replacement of the existing ones. Nigerian citizens expressed different opinions over social media in support of or understanding of the proposed plan and process. Research has shown that shared sentiments on social media can influence the opinions of others and thus the Central Bank of Nigeria’s currency redesign policy. This study, therefore, aims to identify and analyse general sentiments towards the process of the currency redesign policy with the aim of determining the citizen’s attitude towards the policy based on social media comments. Firstly, sentiment analysis will be performed on naira redesign-related posts from a selected social media using lexicon-based and supervised machine learning techniques with the aim of determining a summarised polarity percentage (i.e. negative or positive). The post will be collected between January and February 2023. In addition, the performance of the lexicon-based classifier and seven machine learning-based classifiers will be implemented and compared in order to use the best-performing classifier in determining the sentiment polarity of the post. Also, the thematic analysis on both positive and negative posts to further understand and reveal general views about the currency redesign policy.


The speakers

Oladapo Kayode Abiodun

Oladapo Kayode Abiodun

Kayode Abiodun, Oladapo (PhD) is currently a lecturer of Computer Science at McPherson University, Ogun State, Nigeria. He has a Diploma in Computer Data Processing from Ogun State University (2003); a BSc in Computer with Statistics from Olabisi Onabanjo University (2008); a Postgraduate Diploma in Education from Usman Dan Fodio University (2012); an MSc in Business Administration with specialization in Operations Research from University of Lagos (2015); MSc in Information Technology from National Open University (2016) and PhD (2021) from Babcock University, Ilisan-Remo, Ogun State. He also acquired various online certificates to his credit. Visit here for more details: https://sites.google.com/view/kayodeabiodunoladapo

Akinbo Racheal Shade

Akinbo Racheal Shade

My name is Akinbo Racheal, an author, writer, and researcher. I Possess a Master’s Degree in Computer Science and currently pursuing my Ph.D. in Computer Science at the Federal University of Technology Akure Ondo State Nigeria. My professional goals lie in my ability to become a stand-out female Professor in Computer Science, lecturer, solution developer and research scientist applying problem-solving technologies to make a difference in the lives of students, institutions, communities and my nation at large. I am a high flyer and achiever with strong presentation skills and a responsible person. I also have excellent oral and communication skills with independent and creative working skills.