This study presents a multifaceted linguistic analysis of Tunku Abdul Rahman's final address as Prime Minister of Malaysia, employing Critical Discourse Analysis (CDA), Narrative Analysis, and Sentiment Analysis. By integrating these frameworks, the research aims to uncover the underlying discursive strategies, narrative structures, and emotional tones embedded in the speech. The CDA approach elucidates the power dynamics, ideologies, and social relations articulated, emphasizing themes of national unity and identity. Narrative Analysis examines the construction of Malaysia's historical narrative and Tunku Abdul Rahman's role within it, revealing how personal and national stories are intertwined. Sentiment Analysis quantifies the emotional tenor of the speech, highlighting affective strategies used to engage and persuade the audience. The findings offer a comprehensive understanding of the speech's linguistic and rhetorical dimensions, contributing to the broader discourse on political communication and national identity in post-colonial contexts.
Bamberg, M. (2004). Considering counter-narratives: Narrating, resisting, making sense. John Benjamins Publishing Company.
Cambria, E., Schuller, B., Xia, Y., & Havasi, C. (2013). New avenues in opinion mining and sentiment analysis. IEEE Intelligent Systems, 28(2), 15-21.
Chiluwa, I., & Ifukor, P. (2020). Social media representation of COVID-19 in Africa: Crisis discourse and digital Pan-Africanism. Multilingua, 39(5), 541-566.
Fairclough, N. (1995). Critical discourse analysis: The critical study of language. Longman.
Hofmann, S., & Hyland, K. (2021). It’s all about power: The interpersonal aspects of discursive identity construction in prime ministerial speeches. Journal of Pragmatics, 175, 19-31.
Labov, W., & Waletzky, J. (1967). Narrative analysis: Oral versions of personal experience. In J. Helm (Ed.), Essays on the verbal and visual arts (pp. 12-44). University of Washington Press.
Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1), 1-167.
Mohammad, S. M., Zhu, X., Kiritchenko, S., & Martin, J. (2015). Sentiment, emotion, purpose, and style in electoral tweets. Information Processing & Management, 51(4), 480-499.
Ochs, E., & Capps, L. (2001). Living narrative: Creating lives in everyday storytelling. Harvard University Press.
Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135.
Polkinghorne, D. E. (1995). Narrative configuration in qualitative analysis. International Journal of Qualitative Studies in Education, 8(1), 5-23.
Polletta, F. (2006). It was like a fever: Storytelling in protest and politics. University of Chicago Press.
Riessman, C. K. (2008). Narrative methods for the human sciences. SAGE Publications.
Rodrigues, C. M., & Xu, J. (2020). Understanding sentiments, opinions, and emotions in texts using deep learning: A survey. IEEE Access, 8, 165859-165876.
The Business Station. (2011, August 26). Current affairs: Tunku Abdul Rahman's speeches [Audio podcast]. BFM: The Business Station. https://www.bfm.my/podcast/morning-run/current-affairs/current-affairs-260811-tunku-abdul-rahman-speeches
Dijk, T. A. (1993). Principles of critical discourse analysis. Discourse & Society, 4(2), 249-283.
Leeuwen, T., & Wodak, R. (1999). Legitimizing immigration control: A discourse-historical analysis. Discourse Studies, 1(1), 83-118.
Wodak, R. (2020). The politics of fear: The shameless normalization of far-right discourse. Journal of Language and Politics, 19(4), 614-630.
Wodak, R., & Meyer, M. (Eds.). (2009). Methods for critical discourse analysis. SAGE Publications.
Zappavigna, M. (2021). Searchable talk: The linguistic functions of hashtags in tweets about Brexit. Discourse, Context & Media, 39, 100450.
Atan, M. A., Hamid, A. A. A., Azhar, S. B. H. J., Zaini, N., & Norwahi, N. A. (2024). Discursive Strategies, Narrative Construction, and Sentiment in Tunku Abdul Rahman’s Final Address: A Multifaceted Linguistic Analysis. International Journal of Academic Research in Business and Social Sciences, 14(9), 975–786.
Copyright: © 2024 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
