Application of JSA, a Sentiment Analysis Model in Chinese Language and Literature, to Sentiment Recognition in Classical Poetry

[1] Owen, S. (2020). The making of early Chinese classical poetry (Vol. 261). BRILL. Search in Google Scholar

[2] Yi, X., Li, R., & Sun, M. (2016). Generating Chinese Classical Poems with RNN Encoder-Decoder. arxiv e-prints, arxiv-1604. Search in Google Scholar

[3] Brooks, C. (2018). Modern poetry and the tradition. UNC Press Books. Search in Google Scholar

[4] Badawi, M. M. (2017). From Primary to Secondary Qaṣīdas: Thoughts on the Development of Classical Arabic Poetry. In Early Islamic Poetry and Poetics (pp. 343-374). Routledge. Search in Google Scholar

[5] Silk, M., Gildenhard, I., & Barrow, R. (2017). The Classical Tradition: Art, Literature, Thought. John Wiley & Sons. Search in Google Scholar

[6] Welsh, A. (2019). Roots of Lyric: Primitive Poetry and Modern Poetics. Princeton University Press. Search in Google Scholar

[7] Adorno, T. W. (2020). Lyric poetry and society. In Critical Theory and Society (pp. 155-171). Routledge. Search in Google Scholar

[8] Luo, Y., & Huang, Y. (2017, June). Text steganography with high embedding rate: Using recurrent neural networks to generate chinese classic poetry. In Proceedings of the 5th ACM workshop on information hiding and multimedia security (pp. 99-104). Search in Google Scholar

[9] Zhao, Z., & Ma, X. (2020). ShadowPlay2. 5D: A 360-degree video authoring tool for immersive appreciation of classical Chinese poetry. Journal on Computing and Cultural Heritage (JOCCH), 13(1), 1-20. Search in Google Scholar

[10] Fuller, M. (2020). An introduction to Chinese poetry: from the Canon of poetry to the lyrics of the Song dynasty (Vol. 408). Brill. Search in Google Scholar

[11] Zhang, Y. (2019). Teaching classical Chinese poetry through reception studies. ASIANetwork Exchange A Journal for Asian Studies in the Liberal Arts, 26(1). Search in Google Scholar

[12] Owen, S. (2020). The making of early Chinese classical poetry (Vol. 261). BRILL. Search in Google Scholar

[13] Howell Karin Therese & Kestner Charlotte.(2023).The model theory of commutative near-vector spaces.Quaestiones Mathematicae(7),1393-1414. Search in Google Scholar

[14] Qi Qianqian,Hessen David J. & van der Heijden Peter G. M..(2023).Improving information retrieval through correspondence analysis instead of latent semantic analysis.Journal of Intelligent Information Systems(1),209-230. Search in Google Scholar

[15] Vyoma Singh,Birupaksha Pal & Tushar Jain.(2024).A unified framework for state and time-dependent parameter estimation of automotive engines.Mechanical Systems and Signal Processing111514-. Search in Google Scholar

[16] Nájera Héctor & Ortega Avila Ana G..(2024).Municipal-level estimates (2020) of adult obesity in Mexico drawn from a hierarchical Bayesian estimator.GeoJournal(3), Search in Google Scholar

[17] Nimala K. & Jebakumar R..(2021).Sentiment topic emotion model on students feedback for educational benefits and practices.Behaviour & Information Technology(3),311-319. Search in Google Scholar