Emotions in Populist Poetry: Sentiment Analysis of Selected English and Arabic Poems
DOI:
https://doi.org/10.31185/lark.4310Abstract
The study examines the emotional dimensions of populist poetry in English and Arabic through sentiment analysis and stylistic techniques. It explores the distribution of various emotions within these poetic traditions, investigating how linguistic, cultural, and socio-political factors affect emotional appeal. Through a corpus of selected populist poems, the study employs Natural Language Processing (NLP), Linguistic Inquiry and Word Count (LIWC), and SPSS-based statistical methods to analyze emotion frequencies in the selected poems. The results highlight significant differences between the two languages. English populist poems show higher diversity in emotions, including Annoyance, Awe/Sublime, and Beauty/Joy, while Arabic poems predominantly prefer Sadness and Uneasiness with a narrower range of emotions. The study also contributes to stylistics and comparative poetics by revealing distinct emotional disparity within the populist discourse.
References
Ernst, N., Engesser, S., Büchel, F., Blassnig, S., & Esser, F. (2019). Populists Prefer Social Media: Comparing Populist and Non-Populist Politicians’ Use of Twitter in Five Western Democracies. New Media & Society, 21(10), 1-18.
Ferlinghetti, L. (1976). Populist Manifesto. City Lights Books.
Gibbons, A., & Whiteley, S. (2018). Contemporary Stylistics: Language, Cognition, and Text Interpretation. Bloomsbury Publishing.
Haider, T., Eger, S., Kim, E., Klinger, R., & Menninghaus, W. (2020). PO-EMO: Conceptualization, annotation, and modeling of aesthetic emotions in German and English poetry. In Proceedings of the Twelfth Language Resources and Evaluation Conference (pp. 1652–1663). European Language Resources Association.
Hemanth, P. (2024). Introduction to NLP and AI Linguistics. Cambridge University Press.
Liu, B. (2012). Sentiment Analysis and Opinion Mining. Morgan & Claypool Publishers.
Liu, B. (2015). Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge University Press.
Moffitt, B. (2016). The Global Rise of Populism: Performance, Political Style, and Representation. Stanford University Press.
Mohammed, M. A., Hassan, M. & Shamkhi, K. (2012). Sentence Length and Complexity in Hemingway's Short story: A Clean, Well-Lighted Place: A Stylistic study. LARQ, NO. 10 (41-57). DOI: https://doi.org/10.31185/lark.Vol1.Iss10.876
Mudde, C. (2004). The Populist Zeitgeist. Government and Opposition, 39(4), 541–563.
Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1–2), 1–135.
Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2022). Linguistic Inquiry and Word Count (LIWC-22). Pennebaker Conglomerates.
Stockwell, P. (2020). Cognitive Poetics: An Introduction. Routledge.
Suneetha, P., & Row, S. (2023). Sentiment Analysis and Text Analytics: A Computational Approach. Oxford University Press.
Zephaniah, B. (1999). Too Black, Too Strong. Bloomsbury.
Zhou, L., et al. (2019). Text Analytics and NLP: A Practical Guide. Wiley.
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