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Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis
Political speech acts are critical for politicians launching a regime because they can provide information that can be used to control people's thoughts and opinions. The purpose of this study was to conduct a qualitative content analysis of the inaugural and ascension addresses of Nigerian hea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753883/ https://www.ncbi.nlm.nih.gov/pubmed/36536856 http://dx.doi.org/10.1007/s43545-022-00570-x |
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author | Fowobaje, Kayode Raphael Mashood, Lawal Olumuyiwa Ekholuenetale, Michael Ibidoja, Olayemi Joshua |
author_facet | Fowobaje, Kayode Raphael Mashood, Lawal Olumuyiwa Ekholuenetale, Michael Ibidoja, Olayemi Joshua |
author_sort | Fowobaje, Kayode Raphael |
collection | PubMed |
description | Political speech acts are critical for politicians launching a regime because they can provide information that can be used to control people's thoughts and opinions. The purpose of this study was to conduct a qualitative content analysis of the inaugural and ascension addresses of Nigerian heads of state and presidents. The textual data used in this analysis were the ascension and inaugural addresses of Nigerian Heads of State and Presidents from 1960 to 2019. They were extracted and analysed using text-mining techniques. Textual data were clustered about their topical content using Latent Dirichlet Allocation (LDA), and speech cohesion between these addresses was examined using a similarity matrix and heatmap. Furthermore, term frequency and association analyses were performed to examine the high-frequency terms (tokens) and the terms (tokens) that are strongly correlated within each of the ascension/inaugural addresses (corpus). The summarization of characters and words in the ascension and inaugural addresses reveals that the Civilian Presidents used more characters and words than the Military Heads of State. There was an increase in the number of characters and words in the ascension and inaugural addresses among those who had served the nation multiple times. The total sentiment score in the ascension/inaugural addresses from 1960 to 2019 by Civilian Presidents and Military Heads of State revealed that the Civilian Presidents expressed more trust, surprise, sadness, joy, fear, disgust and anticipation in their addresses than the Military Heads of State. The most occurring term (token) in the ascension/inaugural addresses was the word government which appeared 221 times. The most token in the corpus government was found to be moderately correlated with the following tokens: loss, existing and majority. Similarly, economic was found to be moderately correlated with these tokens: inflation, building, education, exchange, loan, workers and technical. In this study, all the ascension/inaugural addresses share similar topic distribution: as seen in Abacha’s and Muritala’s addresses; and Shonekan’s inaugural address was very similar to Balewa, Azikwe and Babangida's addresses; Babangida's ascension, Abdulsalam’s 1998 ascension, Jonathan’s 2010 inaugural and Buhari’s 2015 inaugural addresses discussed similar topics to Obasanjo’s 1976 ascension address. The highest average sentiment score was observed in Obasanjo’s 2003 inaugural address and the lowest score was in Buhari’s 1983 ascension address. The sentiment score for the ascension/inaugural addresses showed that Civilian Presidents inaugural addresses expressed more positive, joy, trust and anticipation than Military Heads of State. These emotions showed that the Civilian President’s inaugural addresses are better when compared to Military Heads of State in terms of the sentiment scores. |
format | Online Article Text |
id | pubmed-9753883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97538832022-12-15 Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis Fowobaje, Kayode Raphael Mashood, Lawal Olumuyiwa Ekholuenetale, Michael Ibidoja, Olayemi Joshua SN Soc Sci Original Paper Political speech acts are critical for politicians launching a regime because they can provide information that can be used to control people's thoughts and opinions. The purpose of this study was to conduct a qualitative content analysis of the inaugural and ascension addresses of Nigerian heads of state and presidents. The textual data used in this analysis were the ascension and inaugural addresses of Nigerian Heads of State and Presidents from 1960 to 2019. They were extracted and analysed using text-mining techniques. Textual data were clustered about their topical content using Latent Dirichlet Allocation (LDA), and speech cohesion between these addresses was examined using a similarity matrix and heatmap. Furthermore, term frequency and association analyses were performed to examine the high-frequency terms (tokens) and the terms (tokens) that are strongly correlated within each of the ascension/inaugural addresses (corpus). The summarization of characters and words in the ascension and inaugural addresses reveals that the Civilian Presidents used more characters and words than the Military Heads of State. There was an increase in the number of characters and words in the ascension and inaugural addresses among those who had served the nation multiple times. The total sentiment score in the ascension/inaugural addresses from 1960 to 2019 by Civilian Presidents and Military Heads of State revealed that the Civilian Presidents expressed more trust, surprise, sadness, joy, fear, disgust and anticipation in their addresses than the Military Heads of State. The most occurring term (token) in the ascension/inaugural addresses was the word government which appeared 221 times. The most token in the corpus government was found to be moderately correlated with the following tokens: loss, existing and majority. Similarly, economic was found to be moderately correlated with these tokens: inflation, building, education, exchange, loan, workers and technical. In this study, all the ascension/inaugural addresses share similar topic distribution: as seen in Abacha’s and Muritala’s addresses; and Shonekan’s inaugural address was very similar to Balewa, Azikwe and Babangida's addresses; Babangida's ascension, Abdulsalam’s 1998 ascension, Jonathan’s 2010 inaugural and Buhari’s 2015 inaugural addresses discussed similar topics to Obasanjo’s 1976 ascension address. The highest average sentiment score was observed in Obasanjo’s 2003 inaugural address and the lowest score was in Buhari’s 1983 ascension address. The sentiment score for the ascension/inaugural addresses showed that Civilian Presidents inaugural addresses expressed more positive, joy, trust and anticipation than Military Heads of State. These emotions showed that the Civilian President’s inaugural addresses are better when compared to Military Heads of State in terms of the sentiment scores. Springer International Publishing 2022-12-15 2022 /pmc/articles/PMC9753883/ /pubmed/36536856 http://dx.doi.org/10.1007/s43545-022-00570-x Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Fowobaje, Kayode Raphael Mashood, Lawal Olumuyiwa Ekholuenetale, Michael Ibidoja, Olayemi Joshua Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis |
title | Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis |
title_full | Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis |
title_fullStr | Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis |
title_full_unstemmed | Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis |
title_short | Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis |
title_sort | qualitative content analysis of nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753883/ https://www.ncbi.nlm.nih.gov/pubmed/36536856 http://dx.doi.org/10.1007/s43545-022-00570-x |
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