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UID:pretalx-europython-2024-JRGVQM@programme.europython.eu
DTSTART;TZID=CET:20240712T130000
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DESCRIPTION:The identification and measurement of an online audience throug
 h the social media platform capitalise on the tonality of emotions on the 
 social media presence. On October 20\, the most populous country and accla
 imed 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 sh
 ared sentiments on social media can influence the opinions of others and t
 hus the Central Bank of Nigeria's currency redesign policy. This study\, t
 herefore\, aimed to identify and analyse general sentiments towards the pr
 ocess of the currency redesign policy with the purpose of determining the 
 citizen's attitude towards the policy\, based on social media comments. Fi
 rstly\, sentiment analysis was performed on naira redesign-related posts f
 rom a selected social media using lexicon-based and supervised machine lea
 rning techniques with the purpose of determining a summarised polarity per
 centage (i.e. negative or positive). The post was collected between Januar
 y and February 2023. In addition\, the performance of the lexicon-based cl
 assifier and seven machine learning-based classifiers was 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 posi
 tive and negative posts to further understand and revealed general views a
 bout the currency redesign policy. Finally\, the analytical findings and t
 he possibility of changing the currency redesign policy was discussed.
DTSTAMP:20260520T133059Z
LOCATION:Main Hall A
SUMMARY:Social Media and Sentimental Analysis: CBN Currency Redesign Policy
  - Oladapo Kayode Abiodun\, Akinbo Racheal Shade
URL:https://programme.europython.eu/europython-2024/talk/JRGVQM/
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