AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman

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nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]09/09/2025 at 10:42 AM[/if 2224] | [if 1553 equals=””] Volume : 03 [else] Volume : 03[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02 | Page : 21 29

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    S.M. Ruhul Amin, Daljit Kaur Gill, Tapan Kumar Palit,

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  1. Ph.D Research Scholar, Assistant Professor, Associate Professor, Department of History, Guru Kashi University, Talwandi Sabo, Department of History, Guru Kashi University, Talwandi Sabo, Department of History, Jagannath University, Punjab, Punjab, Dhaka, India, India, Bangladesh

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Abstract

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nSheikh Mujibur Rahman, known as Bangabandhu, played a pivotal role in Bangladesh’s post-liberation period (1971–1975). Understanding public sentiment during his leadership is crucial for historical analysis. This study employs Artificial Intelligence (AI)-based Sentiment Analysis to examine public perception through archived newspapers, parliamentary speeches, and historical records. Using Natural Language Processing (NLP) techniques, including sentiment classification and opinion mining, we analyze textual data to assess the prevailing public mood during his governance. Our methodology involves collecting textual data from newspapers, speeches, and government reports from 1972–1975. We preprocessed the data using tokenization, lemmatization, and stop-word removal, followed by sentiment classification using BERT-based transformers and Lexicon-based sentiment analysis. The findings reveal a dynamic shift in public sentiment, reflecting socio-political challenges such as economic reforms, famine, and political instability. The results provide insights into the public’s perception of Bangabandhu’s policies and governance, contributing to historical discourse and AI applications in political analysis. This study highlights the intersection of AI and historical research, showcasing how NLP can extract meaningful narratives from past events. The research also underscores the importance of preserving historical texts digitally for further computational analysis. Future research may extend to cross-country comparative sentiment studies to analyze leadership perceptions in post-colonial nations.nn

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Keywords: Sentiment analysis, Bangabandhu, natural language processing, public perception, AI in political analysis

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Algorithms Design and Analysis Review ]

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How to cite this article:
nS.M. Ruhul Amin, Daljit Kaur Gill, Tapan Kumar Palit. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman[/if 2584]. International Journal of Algorithms Design and Analysis Review. 08/09/2025; 03(02):21-29.

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How to cite this URL:
nS.M. Ruhul Amin, Daljit Kaur Gill, Tapan Kumar Palit. [if 2584 equals=”][226 striphtml=1][else]AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman[/if 2584]. International Journal of Algorithms Design and Analysis Review. 08/09/2025; 03(02):21-29. Available from: https://journals.stmjournals.com/ijadar/article=08/09/2025/view=0

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Volume 03
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02
Received 28/04/2025
Accepted 16/06/2025
Published 08/09/2025
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Publication Time 133 Days

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