Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by hidden semantic analysis, 41(6), 391-407.
[2] Landauer, T. K., McNamara, D. S., Dennis, S., & Kintsch, W. (Eds.). (2007). Handbook of hidden semantic analysis.
[3] Radford, A , Narayanaswamy, S., Sutskever, I., & Salakhutdinov, R. (2018). Improving language understanding by generative pre-training.
[4] Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., … & Polosukhin, I. (2017). Attention is all you need, 87, 12-20.
[5] Wang, Y., Liu, S., Afzal, N., Rastegar-Mojarad, M., Wang, L., Shen, F., … & Liu, H. (2018). A comparison of word embeddings for the biomedical natural language processing. Journal of Biomedical Informatics, 87, 12-20. https://doi.org/10.1016/j.jbi.2018.09.008
[6] Gunning, D., & Aha, D. W. (2019). DARPA’s Explainable Artificial Intelligence (XAI) program. AI Magazine, 40(2), 44-58. https://doi.org/10.1609/aimag.v40i2.2850
[7] Fayziev, R. A., Rodionov, A. A., & Jakupov, G. A. (2023). Integration of machine learning in the circular economy: Optimizing resource efficiency and sustainability. Tashkent State University of Economics; Institute for Staff Advanced Training and Statistical Research; Uzbekistan State World Languages University.
[8] Gulyamov, S., Rustambekov, I., Narziev, O., & Xudayberganov, A. (2021). Draft Concept of the Republic of Uzbekistan in the Field of Development Artificial Intelligence for 2021-2030. Yurisprudensiya, 1, 107-21.
[9] Pennington, J., Socher, R., & Manning, C. D. (2014). GloVe: Global vectors for word representation.
[10] Bengio, Y., Courville, A., & Vincent, P. (2013). Representation learning: A review and new perspectives,35(8),1798-1828.
[11] Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space.
[12] Slade, S., & Prinsloo, P. (2013). Learning analytics: Ethical issues and dilemmas. American Behavioral Scientist, 57(10), 1510-1529. https://doi.org/10.1177/0002764213479366
[13] Aggarwal, C. C., & Zhai, C. (2012). A survey of text classification algorithms. In Mining text data (pp. 163-222). Springer. https://doi.org/10.1007/978-1-4614-3223-4_6
[14] Picciano, A. G. (2012). The evolution of big data and learning analytics in American higher education. Journal of Asynchronous Learning Networks, 16(3), 9-20. https://eric.ed.gov/?id=EJ971042
[15] Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Hidden Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
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